SlideShare a Scribd company logo

Business Analytics Decision Tree in R

•
•
Edureka!
Edureka!

The document discusses a course on business analytics using R. It covers topics like data mining, business analytics, machine learning algorithms like clustering and decision trees. It provides examples of using R for data visualization and building decision trees. The objectives are to understand concepts like data mining and analytics, learn R programming, use R for tasks like exploratory data analysis, visualization, clustering, regression and building decision tree models.

Technology
1 of 37
Download to read offline
www.edureka.co/r-for-analytics View Business Analytics with R course details at www.edureka.co/r-for-analytics Business Analytics with R
www.edureka.co/r-for-analyticsSlide 2 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Objectives What is data mining What is Business Analytics Stages of Analytics / data mining What is R overview of Machine Learning  What is Clustering What is K-means Clustering Use-case At the end of this session, you will be able to
Slide 3Slide 3 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Data mining ?? Generally, data mining is the process of studying data from maximum possible dimensions and summarizing it into useful information Technically, data mining is the process of finding correlations or patterns among dozens of fields in large data generated from business Or you can say, data mining is the process finding useful information from the data and then devising knowledge out of it for improving future of our business » Data ?? Data are any facts, numbers, or text is getting produced by existing system » Information ?? The patterns, associations, or relationships among all this data can provide information » Knowledge ?? Information can be converted into knowledge about historical patterns and future trends. For example summary of sales in off season may help to start some offers in that period to increase sales
Slide 4Slide 4 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Business Analytics Why Business Analytics is getting popular these days ? Cost of storing data Cost of processing data
Slide 5Slide 5 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Cross Industry standard Process for data mining ( CRISP – DM ) Stages of Analytics / Data Mining
Slide 6Slide 6 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions What is R R is Programming Language R is Environment for Statistical Analysis R is Data Analysis Software
Slide 7Slide 7 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions R : Characteristics Effective and fast data handling and storage facility A bunch of operators for calculations on arrays, lists, vectors etc A large integrated collection of tools for data analysis, and visualization Facilities for data analysis using graphs and display either directly at the computer or paper A well implemented and effective programming language called ‘S’ on top of which R is built A complete range of packages to extend and enrich the functionality of R
Slide 8Slide 8 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Data Visualization in R This plot represents the locations of all the traffic signals in the city. It is recognizable as Toronto without any other geographic data being plotted - the structure of the city comes out in the data alone.
Slide 9Slide 9 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Who Uses R : Domains  Telecom  Pharmaceuticals  Financial Services  Life Sciences  Education, etc
Slide 10Slide 10 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Types of Learning Supervised Learning Unsupervised Learning 1. Uses a known dataset to make predictions. 2. The training dataset includes input data and response values. 3. From it, the supervised learning algorithm builds a model to make predictions of the response values for a new dataset. 1. Draw inferences from datasets consisting of input data without labeled responses. 2. Used for exploratory data analysis to find hidden patterns or grouping in data 3. The most common unsupervised learning method is cluster analysis. Machine Learning
www.edureka.co/r-for-analyticsSlide 11 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Common Machine Learning Algorithms Types of Learning Supervised Learning Unsupervised Learning Algorithms  Naïve Bayes  Support Vector Machines  Random Forests  Decision Trees Algorithms  K-means  Fuzzy Clustering  Hierarchical Clustering Gaussian mixture models Self-organizing maps
www.edureka.co/r-for-analyticsSlide 12 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions What is Decision Trees? Organizing data into clusters such that there is:  High intra-cluster similarity  Low inter-cluster similarity  Informally, finding natural groupings among objects http://en.wikipedia.org/wiki/Cluster_analysis
www.edureka.co/r-for-analyticsSlide 13 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Trees
www.edureka.co/r-for-analyticsSlide 14 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions What is Decision Trees??
www.edureka.co/r-for-analyticsSlide 15 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions How to Build Decision Trees??
www.edureka.co/r-for-analyticsSlide 16 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Algorithm for Decision Tree Induction
www.edureka.co/r-for-analyticsSlide 17 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree Example??
www.edureka.co/r-for-analyticsSlide 18 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 19 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 20 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 21 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 22 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 23 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 24 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
www.edureka.co/r-for-analyticsSlide 25 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
www.edureka.co/r-for-analyticsSlide 26 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
www.edureka.co/r-for-analyticsSlide 27 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
www.edureka.co/r-for-analyticsSlide 28 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
www.edureka.co/r-for-analyticsSlide 29 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
www.edureka.co/r-for-analyticsSlide 30 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
www.edureka.co/r-for-analyticsSlide 31 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
Slide 32Slide 32 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Trees Case-study
Slide 33Slide 33 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Let’s consider a Company dataset with around 10 variables and 400 records. The attributes are as follows:  Sales  Competitor Price  Income  Advertising  Population  Price  Shelf Location at stores  Age  Education  Urban  US About the data:
Slide 34Slide 34 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions The company dataset looks like this: Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A decision tree can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.
Slide 35 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Demo More Information on R setup and applications at: http://www.edureka.in/blog/category/business-analytics-with-r/
Slide 36 www.edureka.co/r-for-analytics  Module 1 » Introduction to Business Analytics  Module 2 » Introduction to R Programming  Module 3 » Data Manipulation in R  Module 4 » Data Import Techniques in R  Module 5 » Exploratory Data Analysis  Module 6 » Data Visualization in R Course Topics  Module 7 » Data mining: Clustering Techniques  Module 8 » Data Mining: Association rule mining and Sentiment analysis  Module 9 » Linear and Logistic Regression  Module 10 » Annova and Predictive Analysis  Module 11 » Data Mining: Decision Trees and Random forest  Module 12 » Final Project Business Analytics with R class – Census Data
Slide 37 www.edureka.co/r-for-analytics

Recommended

Data Visualization in Exploratory Data Analysis
Data Visualization in Exploratory Data AnalysisData Visualization in Exploratory Data Analysis
Data Visualization in Exploratory Data Analysis
Eva Durall
 
NAIVE BAYES CLASSIFIER
NAIVE BAYES CLASSIFIERNAIVE BAYES CLASSIFIER
NAIVE BAYES CLASSIFIER
Knoldus Inc.
 
Naive Bayes
Naive BayesNaive Bayes
Naive Bayes
CloudxLab
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes Classifier
Arunabha Saha
 
5.2 mining time series data
5.2 mining time series data5.2 mining time series data
5.2 mining time series data
Krish_ver2
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
Edureka!
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science
Venkata Reddy Konasani
 
Dimensionality Reduction
Dimensionality ReductionDimensionality Reduction
Dimensionality Reduction
mrizwan969
 

Recommended

Data Visualization in Exploratory Data Analysis
Data Visualization in Exploratory Data AnalysisData Visualization in Exploratory Data Analysis
Data Visualization in Exploratory Data Analysis
Eva Durall
 
NAIVE BAYES CLASSIFIER
NAIVE BAYES CLASSIFIERNAIVE BAYES CLASSIFIER
NAIVE BAYES CLASSIFIER
Knoldus Inc.
 
Naive Bayes
Naive BayesNaive Bayes
Naive Bayes
CloudxLab
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes Classifier
Arunabha Saha
 
5.2 mining time series data
5.2 mining time series data5.2 mining time series data
5.2 mining time series data
Krish_ver2
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
Edureka!
 
Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science Machine Learning Deep Learning AI and Data Science
Machine Learning Deep Learning AI and Data Science
Venkata Reddy Konasani
 
Dimensionality Reduction
Dimensionality ReductionDimensionality Reduction
Dimensionality Reduction
mrizwan969
 
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Salah Amean
 
Introduction to Data Mining and Data Warehousing
Introduction to Data Mining and Data WarehousingIntroduction to Data Mining and Data Warehousing
Introduction to Data Mining and Data Warehousing
Kamal Acharya
 
Linear regression
Linear regressionLinear regression
Linear regression
MartinHogg9
 
Introduction to data analysis using R
Introduction to data analysis using RIntroduction to data analysis using R
Introduction to data analysis using R
Victoria López
 
Data mining
Data miningData mining
Data miningAhmed Moussa
 
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Simplilearn
 
Support Vector Machine ppt presentation
Support Vector Machine ppt presentationSupport Vector Machine ppt presentation
Support Vector Machine ppt presentation
AyanaRukasar
 
AI local search
AI local searchAI local search
AI local search
Renas Rekany
 
02 Data Mining
02 Data Mining02 Data Mining
02 Data Mining
Institute of Technology Telkom
 
Time series forecasting with machine learning
Time series forecasting with machine learningTime series forecasting with machine learning
Time series forecasting with machine learning
Dr Wei Liu
 
Support vector machine
Support vector machineSupport vector machine
Support vector machine
Rishabh Gupta
 
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olapData Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Salah Amean
 
Statistical learning
Statistical learningStatistical learning
Statistical learningSlideshare
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
Krish_ver2
 
Data science life cycle
Data science life cycleData science life cycle
Data science life cycle
Manoj Mishra
 
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Simplilearn
 
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Edureka!
 
Bayesian networks
Bayesian networksBayesian networks
Bayesian networks
Massimiliano Patacchiola
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
Benjamin Bengfort
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes Classifier
Yiqun Hu
 
Decision tree for Predictive Modeling
Decision tree for Predictive ModelingDecision tree for Predictive Modeling
Decision tree for Predictive Modeling
Edureka!
 
(Machine Learning) Clustering & Classifying Houses in King County, WA
(Machine Learning) Clustering & Classifying Houses in King County, WA(Machine Learning) Clustering & Classifying Houses in King County, WA
(Machine Learning) Clustering & Classifying Houses in King County, WA
Mohammed Al Hamadi
 

More Related Content

What's hot

Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Salah Amean
 
Introduction to Data Mining and Data Warehousing
Introduction to Data Mining and Data WarehousingIntroduction to Data Mining and Data Warehousing
Introduction to Data Mining and Data Warehousing
Kamal Acharya
 
Linear regression
Linear regressionLinear regression
Linear regression
MartinHogg9
 
Introduction to data analysis using R
Introduction to data analysis using RIntroduction to data analysis using R
Introduction to data analysis using R
Victoria López
 
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Simplilearn
 
Support Vector Machine ppt presentation
Support Vector Machine ppt presentationSupport Vector Machine ppt presentation
Support Vector Machine ppt presentation
AyanaRukasar
 
AI local search
AI local searchAI local search
AI local search
Renas Rekany
 
02 Data Mining
02 Data Mining02 Data Mining
02 Data Mining
Institute of Technology Telkom
 
Time series forecasting with machine learning
Time series forecasting with machine learningTime series forecasting with machine learning
Time series forecasting with machine learning
Dr Wei Liu
 
Support vector machine
Support vector machineSupport vector machine
Support vector machine
Rishabh Gupta
 
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olapData Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Salah Amean
 
Statistical learning
Statistical learningStatistical learning
Statistical learningSlideshare
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
Krish_ver2
 
Data science life cycle
Data science life cycleData science life cycle
Data science life cycle
Manoj Mishra
 
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Simplilearn
 
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Edureka!
 
Bayesian networks
Bayesian networksBayesian networks
Bayesian networks
Massimiliano Patacchiola
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
Benjamin Bengfort
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes Classifier
Yiqun Hu
 

What's hot (20)

Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
Data Mining: Concepts and Techniques_ Chapter 6: Mining Frequent Patterns, ...
 
Introduction to Data Mining and Data Warehousing
Introduction to Data Mining and Data WarehousingIntroduction to Data Mining and Data Warehousing
Introduction to Data Mining and Data Warehousing
 
Linear regression
Linear regressionLinear regression
Linear regression
 
Introduction to data analysis using R
Introduction to data analysis using RIntroduction to data analysis using R
Introduction to data analysis using R
 
Data mining
Data miningData mining
Data mining
 
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
Scikit-Learn Tutorial | Machine Learning With Scikit-Learn | Sklearn | Python...
 
Support Vector Machine ppt presentation
Support Vector Machine ppt presentationSupport Vector Machine ppt presentation
Support Vector Machine ppt presentation
 
AI local search
AI local searchAI local search
AI local search
 
02 Data Mining
02 Data Mining02 Data Mining
02 Data Mining
 
Time series forecasting with machine learning
Time series forecasting with machine learningTime series forecasting with machine learning
Time series forecasting with machine learning
 
Support vector machine
Support vector machineSupport vector machine
Support vector machine
 
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olapData Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
Data Mining: Concepts and Techniques (3rd ed.) — Chapter _04 olap
 
Statistical learning
Statistical learningStatistical learning
Statistical learning
 
5.1 mining data streams
5.1 mining data streams5.1 mining data streams
5.1 mining data streams
 
Data science life cycle
Data science life cycleData science life cycle
Data science life cycle
 
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
Linear Regression Analysis | Linear Regression in Python | Machine Learning A...
 
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
Naive Bayes Classifier Tutorial | Naive Bayes Classifier Example | Naive Baye...
 
Bayesian networks
Bayesian networksBayesian networks
Bayesian networks
 
Introduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-LearnIntroduction to Machine Learning with SciKit-Learn
Introduction to Machine Learning with SciKit-Learn
 
Naive Bayes Classifier
Naive Bayes ClassifierNaive Bayes Classifier
Naive Bayes Classifier
 

Viewers also liked

Decision tree for Predictive Modeling
Decision tree for Predictive ModelingDecision tree for Predictive Modeling
Decision tree for Predictive Modeling
Edureka!
 
(Machine Learning) Clustering & Classifying Houses in King County, WA
(Machine Learning) Clustering & Classifying Houses in King County, WA(Machine Learning) Clustering & Classifying Houses in King County, WA
(Machine Learning) Clustering & Classifying Houses in King County, WA
Mohammed Al Hamadi
 
Visual Analytics with Tableau
Visual Analytics with TableauVisual Analytics with Tableau
Visual Analytics with TableauVineet Chaturvedi
 
Predicting Wine Quality Using Different Implementations of Decision Tree Algo...
Predicting Wine Quality Using Different Implementations of Decision Tree Algo...Predicting Wine Quality Using Different Implementations of Decision Tree Algo...
Predicting Wine Quality Using Different Implementations of Decision Tree Algo...
Mohammed Al Hamadi
 
Predicting Delinquency-Give me some credit
Predicting Delinquency-Give me some creditPredicting Delinquency-Give me some credit
Predicting Delinquency-Give me some credit
pragativbora
 
Regression and Classification with R
Regression and Classification with RRegression and Classification with R
Regression and Classification with R
Yanchang Zhao
 
Decision theory
Decision theoryDecision theory
Decision theory
Aditya Mahagaonkar
 
Business Analytics with R
Business Analytics with R Business Analytics with R
Business Analytics with R Edureka!
 
Slideshare Powerpoint presentation
Slideshare Powerpoint presentationSlideshare Powerpoint presentation
Slideshare Powerpoint presentation
elliehood
 

Viewers also liked (11)

Decision tree for Predictive Modeling
Decision tree for Predictive ModelingDecision tree for Predictive Modeling
Decision tree for Predictive Modeling
 
(Machine Learning) Clustering & Classifying Houses in King County, WA
(Machine Learning) Clustering & Classifying Houses in King County, WA(Machine Learning) Clustering & Classifying Houses in King County, WA
(Machine Learning) Clustering & Classifying Houses in King County, WA
 
Visual Analytics with Tableau
Visual Analytics with TableauVisual Analytics with Tableau
Visual Analytics with Tableau
 
Predicting Wine Quality Using Different Implementations of Decision Tree Algo...
Predicting Wine Quality Using Different Implementations of Decision Tree Algo...Predicting Wine Quality Using Different Implementations of Decision Tree Algo...
Predicting Wine Quality Using Different Implementations of Decision Tree Algo...
 
Predicting Delinquency-Give me some credit
Predicting Delinquency-Give me some creditPredicting Delinquency-Give me some credit
Predicting Delinquency-Give me some credit
 
Regression and Classification with R
Regression and Classification with RRegression and Classification with R
Regression and Classification with R
 
Ppt on decision theory
Ppt on decision theoryPpt on decision theory
Ppt on decision theory
 
Decision tree
Decision treeDecision tree
Decision tree
 
Decision theory
Decision theoryDecision theory
Decision theory
 
Business Analytics with R
Business Analytics with R Business Analytics with R
Business Analytics with R
 
Slideshare Powerpoint presentation
Slideshare Powerpoint presentationSlideshare Powerpoint presentation
Slideshare Powerpoint presentation
 

Similar to Business Analytics Decision Tree in R

Business Analytics with R
Business Analytics with RBusiness Analytics with R
Business Analytics with R
Edureka!
 
Data Science : Make Smarter Business Decisions
Data Science : Make Smarter Business DecisionsData Science : Make Smarter Business Decisions
Data Science : Make Smarter Business Decisions
Edureka!
 
Webinar : Introduction to R Programming and Machine Learning
Webinar : Introduction to R Programming and Machine LearningWebinar : Introduction to R Programming and Machine Learning
Webinar : Introduction to R Programming and Machine Learning
Edureka!
 
"Introduction to R Programming and Machine Learning"
"Introduction to R Programming and Machine Learning""Introduction to R Programming and Machine Learning"
"Introduction to R Programming and Machine Learning"
Edureka!
 
Linear Regression With R
Linear Regression With RLinear Regression With R
Linear Regression With R
Edureka!
 
Application of Clustering in Data Science using Real-life Examples
Application of Clustering in Data Science using Real-life Examples Application of Clustering in Data Science using Real-life Examples
Application of Clustering in Data Science using Real-life Examples
Edureka!
 
Business Analytics with R - Webinar
Business Analytics with R - WebinarBusiness Analytics with R - Webinar
Business Analytics with R - WebinarEdureka!
 
Sentiment Analysis In Retail Domain
Sentiment Analysis In Retail DomainSentiment Analysis In Retail Domain
Sentiment Analysis In Retail Domain
Edureka!
 
Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?
Edureka!
 
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...
Edureka!
 
Logistic Regression In Data Science
Logistic Regression In Data ScienceLogistic Regression In Data Science
Logistic Regression In Data Science
Edureka!
 
5 Benefits of Predictive Analytics for E-Commerce
5 Benefits of Predictive Analytics for E-Commerce5 Benefits of Predictive Analytics for E-Commerce
5 Benefits of Predictive Analytics for E-Commerce
Edureka!
 
Linear Regression with R programming.pptx
Linear Regression with R programming.pptxLinear Regression with R programming.pptx
Linear Regression with R programming.pptx
anshikagoel52
 
Ds webinar-30july
Ds webinar-30julyDs webinar-30july
Ds webinar-30july
Edureka!
 
Data Science Demystified
Data Science DemystifiedData Science Demystified
Data Science Demystified
Emily Robinson
 
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...
Edureka!
 
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...Data Science Training | Data Science Tutorial for Beginners | Data Science wi...
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...
Edureka!
 
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...
Edureka!
 
Kimberly Vallejo's Mastery Journey Timeline
Kimberly Vallejo's Mastery Journey TimelineKimberly Vallejo's Mastery Journey Timeline
Kimberly Vallejo's Mastery Journey Timeline
Kimberly Vallejo
 
DAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use Cases
DATAVERSITY
 

Similar to Business Analytics Decision Tree in R (20)

Business Analytics with R
Business Analytics with RBusiness Analytics with R
Business Analytics with R
 
Data Science : Make Smarter Business Decisions
Data Science : Make Smarter Business DecisionsData Science : Make Smarter Business Decisions
Data Science : Make Smarter Business Decisions
 
Webinar : Introduction to R Programming and Machine Learning
Webinar : Introduction to R Programming and Machine LearningWebinar : Introduction to R Programming and Machine Learning
Webinar : Introduction to R Programming and Machine Learning
 
"Introduction to R Programming and Machine Learning"
"Introduction to R Programming and Machine Learning""Introduction to R Programming and Machine Learning"
"Introduction to R Programming and Machine Learning"
 
Linear Regression With R
Linear Regression With RLinear Regression With R
Linear Regression With R
 
Application of Clustering in Data Science using Real-life Examples
Application of Clustering in Data Science using Real-life Examples Application of Clustering in Data Science using Real-life Examples
Application of Clustering in Data Science using Real-life Examples
 
Business Analytics with R - Webinar
Business Analytics with R - WebinarBusiness Analytics with R - Webinar
Business Analytics with R - Webinar
 
Sentiment Analysis In Retail Domain
Sentiment Analysis In Retail DomainSentiment Analysis In Retail Domain
Sentiment Analysis In Retail Domain
 
Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?Is Data Scientist the Sexiest Job of the 21st century?
Is Data Scientist the Sexiest Job of the 21st century?
 
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...
Data Science For Beginners | Who Is A Data Scientist? | Data Science Tutorial...
 
Logistic Regression In Data Science
Logistic Regression In Data ScienceLogistic Regression In Data Science
Logistic Regression In Data Science
 
5 Benefits of Predictive Analytics for E-Commerce
5 Benefits of Predictive Analytics for E-Commerce5 Benefits of Predictive Analytics for E-Commerce
5 Benefits of Predictive Analytics for E-Commerce
 
Linear Regression with R programming.pptx
Linear Regression with R programming.pptxLinear Regression with R programming.pptx
Linear Regression with R programming.pptx
 
Ds webinar-30july
Ds webinar-30julyDs webinar-30july
Ds webinar-30july
 
Data Science Demystified
Data Science DemystifiedData Science Demystified
Data Science Demystified
 
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...
Data Science Tutorial | What is Data Science? | Data Science For Beginners | ...
 
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...Data Science Training | Data Science Tutorial for Beginners | Data Science wi...
Data Science Training | Data Science Tutorial for Beginners | Data Science wi...
 
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...
K-Means Clustering Algorithm - Cluster Analysis | Machine Learning Algorithm ...
 
Kimberly Vallejo's Mastery Journey Timeline
Kimberly Vallejo's Mastery Journey TimelineKimberly Vallejo's Mastery Journey Timeline
Kimberly Vallejo's Mastery Journey Timeline
 
DAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use CasesDAS Slides: Graph Databases — Practical Use Cases
DAS Slides: Graph Databases — Practical Use Cases
 

More from Edureka!

What to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | EdurekaWhat to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | Edureka
Edureka!
 
Top 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | EdurekaTop 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | Edureka
Edureka!
 
Top 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | EdurekaTop 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | Edureka
Edureka!
 
Tableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | EdurekaTableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | Edureka
Edureka!
 
Python Programming Tutorial | Edureka
Python Programming Tutorial | EdurekaPython Programming Tutorial | Edureka
Python Programming Tutorial | Edureka
Edureka!
 
Top 5 PMP Certifications | Edureka
Top 5 PMP Certifications | EdurekaTop 5 PMP Certifications | Edureka
Top 5 PMP Certifications | Edureka
Edureka!
 
Top Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | EdurekaTop Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | Edureka
Edureka!
 
Linux Mint Tutorial | Edureka
Linux Mint Tutorial | EdurekaLinux Mint Tutorial | Edureka
Linux Mint Tutorial | Edureka
Edureka!
 
How to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| EdurekaHow to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| Edureka
Edureka!
 
Importance of Digital Marketing | Edureka
Importance of Digital Marketing | EdurekaImportance of Digital Marketing | Edureka
Importance of Digital Marketing | Edureka
Edureka!
 
RPA in 2020 | Edureka
RPA in 2020 | EdurekaRPA in 2020 | Edureka
RPA in 2020 | Edureka
Edureka!
 
Email Notifications in Jenkins | Edureka
Email Notifications in Jenkins | EdurekaEmail Notifications in Jenkins | Edureka
Email Notifications in Jenkins | Edureka
Edureka!
 
EA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | EdurekaEA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | Edureka
Edureka!
 
Cognitive AI Tutorial | Edureka
Cognitive AI Tutorial | EdurekaCognitive AI Tutorial | Edureka
Cognitive AI Tutorial | Edureka
Edureka!
 
AWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | EdurekaAWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | Edureka
Edureka!
 
Blue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | EdurekaBlue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | Edureka
Edureka!
 
Big Data on AWS Tutorial | Edureka
Big Data on AWS Tutorial | Edureka Big Data on AWS Tutorial | Edureka
Big Data on AWS Tutorial | Edureka
Edureka!
 
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaA star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
Edureka!
 
Kubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | EdurekaKubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | Edureka
Edureka!
 
Introduction to DevOps | Edureka
Introduction to DevOps | EdurekaIntroduction to DevOps | Edureka
Introduction to DevOps | Edureka
Edureka!
 

More from Edureka! (20)

What to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | EdurekaWhat to learn during the 21 days Lockdown | Edureka
What to learn during the 21 days Lockdown | Edureka
 
Top 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | EdurekaTop 10 Dying Programming Languages in 2020 | Edureka
Top 10 Dying Programming Languages in 2020 | Edureka
 
Top 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | EdurekaTop 5 Trending Business Intelligence Tools | Edureka
Top 5 Trending Business Intelligence Tools | Edureka
 
Tableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | EdurekaTableau Tutorial for Data Science | Edureka
Tableau Tutorial for Data Science | Edureka
 
Python Programming Tutorial | Edureka
Python Programming Tutorial | EdurekaPython Programming Tutorial | Edureka
Python Programming Tutorial | Edureka
 
Top 5 PMP Certifications | Edureka
Top 5 PMP Certifications | EdurekaTop 5 PMP Certifications | Edureka
Top 5 PMP Certifications | Edureka
 
Top Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | EdurekaTop Maven Interview Questions in 2020 | Edureka
Top Maven Interview Questions in 2020 | Edureka
 
Linux Mint Tutorial | Edureka
Linux Mint Tutorial | EdurekaLinux Mint Tutorial | Edureka
Linux Mint Tutorial | Edureka
 
How to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| EdurekaHow to Deploy Java Web App in AWS| Edureka
How to Deploy Java Web App in AWS| Edureka
 
Importance of Digital Marketing | Edureka
Importance of Digital Marketing | EdurekaImportance of Digital Marketing | Edureka
Importance of Digital Marketing | Edureka
 
RPA in 2020 | Edureka
RPA in 2020 | EdurekaRPA in 2020 | Edureka
RPA in 2020 | Edureka
 
Email Notifications in Jenkins | Edureka
Email Notifications in Jenkins | EdurekaEmail Notifications in Jenkins | Edureka
Email Notifications in Jenkins | Edureka
 
EA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | EdurekaEA Algorithm in Machine Learning | Edureka
EA Algorithm in Machine Learning | Edureka
 
Cognitive AI Tutorial | Edureka
Cognitive AI Tutorial | EdurekaCognitive AI Tutorial | Edureka
Cognitive AI Tutorial | Edureka
 
AWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | EdurekaAWS Cloud Practitioner Tutorial | Edureka
AWS Cloud Practitioner Tutorial | Edureka
 
Blue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | EdurekaBlue Prism Top Interview Questions | Edureka
Blue Prism Top Interview Questions | Edureka
 
Big Data on AWS Tutorial | Edureka
Big Data on AWS Tutorial | Edureka Big Data on AWS Tutorial | Edureka
Big Data on AWS Tutorial | Edureka
 
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | EdurekaA star algorithm | A* Algorithm in Artificial Intelligence | Edureka
A star algorithm | A* Algorithm in Artificial Intelligence | Edureka
 
Kubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | EdurekaKubernetes Installation on Ubuntu | Edureka
Kubernetes Installation on Ubuntu | Edureka
 
Introduction to DevOps | Edureka
Introduction to DevOps | EdurekaIntroduction to DevOps | Edureka
Introduction to DevOps | Edureka
 

Recently uploaded

Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Safe Software
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
Peter Spielvogel
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Neo4j
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
ThomasParaiso2
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
Guy Korland
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
DianaGray10
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
KatiaHIMEUR1
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
DianaGray10
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
Matthew Sinclair
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Matthew Sinclair
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
Ralf Eggert
 

Recently uploaded (20)

Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FMEEssentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfSAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdf
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
 
GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...GridMate - End to end testing is a critical piece to ensure quality and avoid...
GridMate - End to end testing is a critical piece to ensure quality and avoid...
 
FIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdfFIDO Alliance Osaka Seminar: Overview.pdf
FIDO Alliance Osaka Seminar: Overview.pdf
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
GraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge GraphGraphRAG is All You need? LLM & Knowledge Graph
GraphRAG is All You need? LLM & Knowledge Graph
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5UiPath Test Automation using UiPath Test Suite series, part 5
UiPath Test Automation using UiPath Test Suite series, part 5
 
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4UiPath Test Automation using UiPath Test Suite series, part 4
UiPath Test Automation using UiPath Test Suite series, part 4
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
20240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 202420240607 QFM018 Elixir Reading List May 2024
20240607 QFM018 Elixir Reading List May 2024
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 202420240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
 
PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)PHP Frameworks: I want to break free (IPC Berlin 2024)
PHP Frameworks: I want to break free (IPC Berlin 2024)
 

Business Analytics Decision Tree in R

  • 1. www.edureka.co/r-for-analytics View Business Analytics with R course details at www.edureka.co/r-for-analytics Business Analytics with R
  • 2. www.edureka.co/r-for-analyticsSlide 2 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Objectives What is data mining What is Business Analytics Stages of Analytics / data mining What is R overview of Machine Learning  What is Clustering What is K-means Clustering Use-case At the end of this session, you will be able to
  • 3. Slide 3Slide 3 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Data mining ?? Generally, data mining is the process of studying data from maximum possible dimensions and summarizing it into useful information Technically, data mining is the process of finding correlations or patterns among dozens of fields in large data generated from business Or you can say, data mining is the process finding useful information from the data and then devising knowledge out of it for improving future of our business » Data ?? Data are any facts, numbers, or text is getting produced by existing system » Information ?? The patterns, associations, or relationships among all this data can provide information » Knowledge ?? Information can be converted into knowledge about historical patterns and future trends. For example summary of sales in off season may help to start some offers in that period to increase sales
  • 4. Slide 4Slide 4 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Business Analytics Why Business Analytics is getting popular these days ? Cost of storing data Cost of processing data
  • 5. Slide 5Slide 5 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Cross Industry standard Process for data mining ( CRISP – DM ) Stages of Analytics / Data Mining
  • 6. Slide 6Slide 6 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions What is R R is Programming Language R is Environment for Statistical Analysis R is Data Analysis Software
  • 7. Slide 7Slide 7 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions R : Characteristics Effective and fast data handling and storage facility A bunch of operators for calculations on arrays, lists, vectors etc A large integrated collection of tools for data analysis, and visualization Facilities for data analysis using graphs and display either directly at the computer or paper A well implemented and effective programming language called ‘S’ on top of which R is built A complete range of packages to extend and enrich the functionality of R
  • 8. Slide 8Slide 8 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Data Visualization in R This plot represents the locations of all the traffic signals in the city. It is recognizable as Toronto without any other geographic data being plotted - the structure of the city comes out in the data alone.
  • 9. Slide 9Slide 9 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Who Uses R : Domains  Telecom  Pharmaceuticals  Financial Services  Life Sciences  Education, etc
  • 10. Slide 10Slide 10 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Types of Learning Supervised Learning Unsupervised Learning 1. Uses a known dataset to make predictions. 2. The training dataset includes input data and response values. 3. From it, the supervised learning algorithm builds a model to make predictions of the response values for a new dataset. 1. Draw inferences from datasets consisting of input data without labeled responses. 2. Used for exploratory data analysis to find hidden patterns or grouping in data 3. The most common unsupervised learning method is cluster analysis. Machine Learning
  • 11. www.edureka.co/r-for-analyticsSlide 11 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Common Machine Learning Algorithms Types of Learning Supervised Learning Unsupervised Learning Algorithms  Naïve Bayes  Support Vector Machines  Random Forests  Decision Trees Algorithms  K-means  Fuzzy Clustering  Hierarchical Clustering Gaussian mixture models Self-organizing maps
  • 12. www.edureka.co/r-for-analyticsSlide 12 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions What is Decision Trees? Organizing data into clusters such that there is:  High intra-cluster similarity  Low inter-cluster similarity  Informally, finding natural groupings among objects http://en.wikipedia.org/wiki/Cluster_analysis
  • 13. www.edureka.co/r-for-analyticsSlide 13 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Trees
  • 14. www.edureka.co/r-for-analyticsSlide 14 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions What is Decision Trees??
  • 15. www.edureka.co/r-for-analyticsSlide 15 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions How to Build Decision Trees??
  • 16. www.edureka.co/r-for-analyticsSlide 16 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Algorithm for Decision Tree Induction
  • 17. www.edureka.co/r-for-analyticsSlide 17 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree Example??
  • 18. www.edureka.co/r-for-analyticsSlide 18 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 19. www.edureka.co/r-for-analyticsSlide 19 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 20. www.edureka.co/r-for-analyticsSlide 20 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 21. www.edureka.co/r-for-analyticsSlide 21 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 22. www.edureka.co/r-for-analyticsSlide 22 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 23. www.edureka.co/r-for-analyticsSlide 23 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 24. www.edureka.co/r-for-analyticsSlide 24 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 1: Root “student”
  • 25. www.edureka.co/r-for-analyticsSlide 25 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 26. www.edureka.co/r-for-analyticsSlide 26 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 27. www.edureka.co/r-for-analyticsSlide 27 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 28. www.edureka.co/r-for-analyticsSlide 28 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 29. www.edureka.co/r-for-analyticsSlide 29 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 30. www.edureka.co/r-for-analyticsSlide 30 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 31. www.edureka.co/r-for-analyticsSlide 31 Twitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Tree 2: Root “Income”
  • 32. Slide 32Slide 32 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Decision Trees Case-study
  • 33. Slide 33Slide 33 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Let’s consider a Company dataset with around 10 variables and 400 records. The attributes are as follows:  Sales  Competitor Price  Income  Advertising  Population  Price  Shelf Location at stores  Age  Education  Urban  US About the data:
  • 34. Slide 34Slide 34 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions The company dataset looks like this: Problem Statement: A cloth manufacturing company is interested to know about the segment or attributes causes high sale. Approach - A decision tree can be built with target variable Sale (we will first convert it in categorical variable) & all other variable will be independent in the analysis.
  • 35. Slide 35 www.edureka.co/r-for-analyticsTwitter @edurekaIN, Facebook /edurekaIN, use #AskEdureka for Questions Demo More Information on R setup and applications at: http://www.edureka.in/blog/category/business-analytics-with-r/
  • 36. Slide 36 www.edureka.co/r-for-analytics  Module 1 » Introduction to Business Analytics  Module 2 » Introduction to R Programming  Module 3 » Data Manipulation in R  Module 4 » Data Import Techniques in R  Module 5 » Exploratory Data Analysis  Module 6 » Data Visualization in R Course Topics  Module 7 » Data mining: Clustering Techniques  Module 8 » Data Mining: Association rule mining and Sentiment analysis  Module 9 » Linear and Logistic Regression  Module 10 » Annova and Predictive Analysis  Module 11 » Data Mining: Decision Trees and Random forest  Module 12 » Final Project Business Analytics with R class – Census Data