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Data Science Certification
Course 
List Of Real Time Projects
Real Time Projects
Projects From Retail ,Banking
,Finance ,Insurance ,Sales,Marketing
,Healthcare ,Manufacturing .
List Of Projects:
Project 1 : Marketing Domain
Customer Conversion / Segmentation
Problem: A bank Facing Challenges With Lead Conversion
Description:
Identify the leads' segments having a higher conversion ratio
(lead to buying a product) so that organisation can
specifically target these potential customers through
additional channels and re-marketing
Project 2 : Banking Domain
Credit Risk Analytics
Problem: efficiently build or validate in-house models for
credit risk management.
Description:
Create a classifier that leverages financial information from
bank accounts to estimate customer risk.
Project Lists
Project 3 : Project on Natural Language Procession
Problem : training a machine learning model that classifies a
given line of text as belonging to one of the books/Articles.
developing a machine learning model (deep learning
preferred) for the same.
Project 4 : Price Analytics
Creating auto calculating pricing model
Problem: build an algorithm that automatically suggests the
right product prices
Project 5 : Classifying Loan Application
Problem : Work With credit dataset using classification
techniques like Decision Tree, Neural Networks etc to
classify loan applications
Project 6 : Identify And Predict Customer churn in
telecom industry
Description:Understand the customer behavior and reasons
for churn.Apply multiple classification models to predict the
customer churn in telecom industry
Project Lists
Project 7 :Retail Domain
Coupon Purchase Prediction Project
Description:Understand Retail Transactional Data set And
Using past purchase and browsing behavior of customers
,create a machine learning model which Predict which
coupons a customer will buy in a given period of time.
Project 8 : Predict Credit Default
Description:predict borrowers chance of defaulting on credit
loans by building a credit score prediction model.Develop a
good prediction model for a bank so that they can provide
maximum credit to individual without exceeding the risk
threshold.
Project 9 : Manufacturing And Production
Predict Internal Failures Using Production Line Dataset
Description:Understanding about Manufacturing domain
and its failures.
Use production line dataset to predict internal failures using
thousands of measurements/tests made for each component
along the assembly line
Project Lists
Project 10 : Insurance Purchase Prediction
Description:Predicting which insurance option the customer
will choose.Building machine learning models and Using a
customer’s shopping history, can you predict what policy they
will end up choosing?
Project 11 : HR Analytics Employee Attrition &
Performance
Description:Predict attrition of valuable employees of an
organisation .
Project 12 : Implement Back-Propagation Algorithm for
Classification Problems
Description:Implement Back-propagation Algorithm from
scratch for classification problems.After this project you willl
have understanding of "How to apply the back-propagation
algorithm to a real-world predictive modeling problem."

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Data Science training in Bangalore - Learnbay.in

  • 2. Real Time Projects Projects From Retail ,Banking ,Finance ,Insurance ,Sales,Marketing ,Healthcare ,Manufacturing . List Of Projects: Project 1 : Marketing Domain Customer Conversion / Segmentation Problem: A bank Facing Challenges With Lead Conversion Description: Identify the leads' segments having a higher conversion ratio (lead to buying a product) so that organisation can specifically target these potential customers through additional channels and re-marketing Project 2 : Banking Domain Credit Risk Analytics Problem: efficiently build or validate in-house models for credit risk management. Description: Create a classifier that leverages financial information from bank accounts to estimate customer risk.
  • 3. Project Lists Project 3 : Project on Natural Language Procession Problem : training a machine learning model that classifies a given line of text as belonging to one of the books/Articles. developing a machine learning model (deep learning preferred) for the same. Project 4 : Price Analytics Creating auto calculating pricing model Problem: build an algorithm that automatically suggests the right product prices Project 5 : Classifying Loan Application Problem : Work With credit dataset using classification techniques like Decision Tree, Neural Networks etc to classify loan applications Project 6 : Identify And Predict Customer churn in telecom industry Description:Understand the customer behavior and reasons for churn.Apply multiple classification models to predict the customer churn in telecom industry
  • 4. Project Lists Project 7 :Retail Domain Coupon Purchase Prediction Project Description:Understand Retail Transactional Data set And Using past purchase and browsing behavior of customers ,create a machine learning model which Predict which coupons a customer will buy in a given period of time. Project 8 : Predict Credit Default Description:predict borrowers chance of defaulting on credit loans by building a credit score prediction model.Develop a good prediction model for a bank so that they can provide maximum credit to individual without exceeding the risk threshold. Project 9 : Manufacturing And Production Predict Internal Failures Using Production Line Dataset Description:Understanding about Manufacturing domain and its failures. Use production line dataset to predict internal failures using thousands of measurements/tests made for each component along the assembly line
  • 5. Project Lists Project 10 : Insurance Purchase Prediction Description:Predicting which insurance option the customer will choose.Building machine learning models and Using a customer’s shopping history, can you predict what policy they will end up choosing? Project 11 : HR Analytics Employee Attrition & Performance Description:Predict attrition of valuable employees of an organisation . Project 12 : Implement Back-Propagation Algorithm for Classification Problems Description:Implement Back-propagation Algorithm from scratch for classification problems.After this project you willl have understanding of "How to apply the back-propagation algorithm to a real-world predictive modeling problem."