An Overview of Data Mining Concepts Applied in Mathematical Techniquesijcoa
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that contribute to several disciplines including Mathematics, Statistics, Pattern Recognition, Visualization, and Parallel Computing. This paper is projected to serve as an overview to the concepts of these rapidly evolving research and application areas. The basic concepts of these areas are outlined in this paper with some key ideas and motivate the importance of data mining concepts applied in Mathematical Techniques
An Overview of Data Mining Concepts Applied in Mathematical Techniquesijcoa
Data Mining and Knowledge Discovery in Databases (KDD) are rapidly evolving areas of research that contribute to several disciplines including Mathematics, Statistics, Pattern Recognition, Visualization, and Parallel Computing. This paper is projected to serve as an overview to the concepts of these rapidly evolving research and application areas. The basic concepts of these areas are outlined in this paper with some key ideas and motivate the importance of data mining concepts applied in Mathematical Techniques
Hello, I am Nikhil Kulkarni, studying computer engineering from Pune Institute of Computer Technology, Pune. It is my resume which was made in my 4th semester of engineering.
SCCAI- A Student Career Counselling Artificial Intelligencevivatechijri
As education is growing day by day, the competition has prompted a need for the student to
understand more about the educational field. Many times the counselor isn’t available all the time and
sometimes due to the lack of proper knowledge about some educational field. Due to this, it creates an issue of
misconception of that field. This creates a problem for the student to decide a proper educational trajectory and
guidance is not always useful. The proposed paper will overcome all these problem using machine learning
algorithm. Various algorithms are being considered and amongst them the best suitable for our project are used
here. There are 3 major problems that come across our path and they are solved using Random forest, Linear
regression and Searching algorithm using Google API. At first Searching algorithm solves the problem of
location by segregating the college’s location vice, then Random Forest provides the list of colleges by using
stream and range of percentage and finally Linear Regression predicts the current cutoff using previous years’
data. Rather than this, the proposed system also provides information regarding all fields of education helping
students to understand and know about their field of interest better. The following idea is a total fresh idea with
no existing projects of similar kind. This project will help students guide them throughout.
Dynamic Scheduling of Data Using Genetic Algorithm in Cloud Computingijcoa
Cloud Computing is the utilization of pool of resources for remote users through internet that can be easily accessible, scalable and utilization of resources. To attain maximum utilization of resources the tasks need to be scheduled. The problem in scheduling is allocating the correct resources to the arrived tasks. Dynamic scheduling is that the task arrival is uncertain at run time and allocating resources are tedious as several tasks arrive at the same time. To avoid this scheduling problem, Genetic Algorithm is used. Genetic algorithm is a heuristic method that deals with the natural selection of solution from all possible solutions. Using genetic algorithm the tasks are scheduled according to the computation and memory usage. The tasks are scheduled dynamically. The execution time is reduced by parallel processing. The scheduled data is stored in cloud. By using GA to obtain global optimization.
Hello, I am Nikhil Kulkarni, studying computer engineering from Pune Institute of Computer Technology, Pune. It is my resume which was made in my 4th semester of engineering.
SCCAI- A Student Career Counselling Artificial Intelligencevivatechijri
As education is growing day by day, the competition has prompted a need for the student to
understand more about the educational field. Many times the counselor isn’t available all the time and
sometimes due to the lack of proper knowledge about some educational field. Due to this, it creates an issue of
misconception of that field. This creates a problem for the student to decide a proper educational trajectory and
guidance is not always useful. The proposed paper will overcome all these problem using machine learning
algorithm. Various algorithms are being considered and amongst them the best suitable for our project are used
here. There are 3 major problems that come across our path and they are solved using Random forest, Linear
regression and Searching algorithm using Google API. At first Searching algorithm solves the problem of
location by segregating the college’s location vice, then Random Forest provides the list of colleges by using
stream and range of percentage and finally Linear Regression predicts the current cutoff using previous years’
data. Rather than this, the proposed system also provides information regarding all fields of education helping
students to understand and know about their field of interest better. The following idea is a total fresh idea with
no existing projects of similar kind. This project will help students guide them throughout.
Dynamic Scheduling of Data Using Genetic Algorithm in Cloud Computingijcoa
Cloud Computing is the utilization of pool of resources for remote users through internet that can be easily accessible, scalable and utilization of resources. To attain maximum utilization of resources the tasks need to be scheduled. The problem in scheduling is allocating the correct resources to the arrived tasks. Dynamic scheduling is that the task arrival is uncertain at run time and allocating resources are tedious as several tasks arrive at the same time. To avoid this scheduling problem, Genetic Algorithm is used. Genetic algorithm is a heuristic method that deals with the natural selection of solution from all possible solutions. Using genetic algorithm the tasks are scheduled according to the computation and memory usage. The tasks are scheduled dynamically. The execution time is reduced by parallel processing. The scheduled data is stored in cloud. By using GA to obtain global optimization.
AboutAbout
As a Machine Learning Engineer, I am enthusiastic about exploring the fascinating field of machine learning and its potential applications in solving real-world problems. I have a good amount of knowledge in mathematics, statistics, and computer science, which enables me to understand and implement the fundamental concepts and techniques of machine learning.
My experience includes working with various data analytics tools and technologies, such as SQL, Python, Tableau, and Power BI. I have developed expertise in data cleaning and exploratory data analysis, statistical inference, and machine learning techniques such as regression, and clustering, my experience also includes working with a variety of machine learning tools and frameworks, including, Scikit-learn, TensorFlow and Keras. I have also developed expertise in data pre-processing, feature engineering, and model selection, which has enabled me to create robust and accurate machine-learning models.
I am eager to expand my knowledge and expertise in machine learning research and AI-related fields. I am a quick learner, and I am always willing to take on new challenges and stretch myself to develop new skills. Furthermore, I am a good communicator and collaborator, able to work effectively in a team and learn from more experienced colleagues.
I am excited about the potential of machine learning to create positive change and improve people's lives specifically in Health Care industries. I am committed to staying up-to-date with the latest developments in machine learning and related fields, attending conferences and workshops, and engaging in continuous learning. I am eager to apply my skills and experience to solve complex problems and create value for organizations.
https://www.linkedin.com/in/sudharmendra-gv-7214361b2/
Machine Learning EngineerMachine Learning Engineer
Longevity InTime BioTech · Part-timeLongevity InTime BioTech · Part-time
Nov 2022 - Present · 6 mosNov 2022 - Present · 6 mos
Wilmington, Delaware, United StatesWilmington, Delaware, United States
Longevity Intime is a company developing online technology, which enables early diagnosis of diseases using real-time biometrics from the human body.
The Longevity InTime team includes experienced biotechnologists, award-winning scientists, developers, and experienced executives with years of experience. Together we are solving the global problem of life expectancy for each person and for all mankind.
Our goal is to extend a person's life by more than 20 active and happy years without any restrictions to him. We respond to both the personal and public interests of every country on Earth.Longevity Intime is a company developing online technology, which enables early diagnosis of diseases using real-time biometrics from the human body. The Longevity InTime team includes experienced biotechnologists, award-winning scientists, developers, and experienced executives with years of experience.
I am a passionate and hardworking student currently pursuing my Bachelor's degree in Information Technology. My areas of Interest include Software Development, Data Structures and Algorithms, Machine Learning. I am open for full-time Job Opportunities.
I also love creative writing, public speaking, community service and sports.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
1. INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, SRI CITY
CHITTOOR, ANDHRA PRADESH
D PAWAN KALYAN REDDY
Male, Indian
Boys Hostel, IIIT Sri City
Andhra Pradesh
Email: pawankalyanreddy.d16@iiits.in, pawankalyandakkata@gmail.com
Mobile: +91-9866774396
B.Tech Computer Science and Engineering CGPA: 6.87
Semester I II III IV V VI
SGPA 6.85 7.42 6.45 7.0 6.3 7.22
Class XII(State Board) 2016 Sri Chaitanya Junior College,
Visakhapatnam
98.30%
Class X(State Board) 2014 Santiniketan English Medium High
School, Ichapuram.
9.7(CGPA)
Soil Nutrients Estimation using Geo Statistical Analysis (Aug 2019 - Current)
B.Tech Project, where the nutrients data of agricultural field collected from two districts
(Pune & Ahmednagar) of Maharashtra State will be used to estimate the unknown values.
“Conditional Simulation” is the method used to predict the unknown values.
With this analysis, we can find a model which can state the suitability of a field for a crop.
And will also state the factors to increase the productivity of crops yield even on a small farm.
Automatic Plant Irrigation System (Aug 2017- Nov 2017)
This project provides a system where a plant is monitored automatically by testing its condition and
supplying water accordingly. And also the user could visualize real-time statistics about plant
condition.
2. INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, SRI CITY
CHITTOOR, ANDHRA PRADESH
Ec Lab Management System (Sep 2018 - Dec 2018)
This project includes an application which helps the user in checking the availability of components
and allows admin to manage the components in lab efficiently. It provides a reminder service to the
laboratory faculty when a component went out of stock or when a student requests some component
which is not available.
Hand-Gesture-Recognition (Aug 2017 - Nov 2017)
This project is a system which helps special people to communicate with other people using their
hand gestures. This model can be trained to improve the results.
Automated Industrial Bot (Feb 2018 – Apr 2018)
This project includes a bot which automatically runs around a fixed path by surpassing obstacles and
collect data from sensor bodies and sending it to the cloud.
Applied Statistical Data Analysis (Sep 2018 - Oct 2018)
This is a project where the given data set is modeled using statistical methods and giving up the best
model which fits the data using results. It also implemented the model which predicts future values.
Languages : C, Python,Java, C++, HTML, CSS.
Operating System : Windows7/10, Linux (Ubuntu).
Web Technologies : HTML, CSS, BootStrap, Java Script
Databases : MYSQL, SQL
Back End frameworks : Django
● Qualified intermediate public examination with 98.3% and stood first in the campus.
● Qualified SSC with CGPA of 9.7 and stood first in the town.
● Secured 1st
place in Intra-School Debate Competition.
● Secured 1st place in a short film contest in Abhisarga’18.
Positions of Responsibility
● Head Coordinator for Branding & Promotions of Abhisarga’19 (Cultural Fest).
3. INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, SRI CITY
CHITTOOR, ANDHRA PRADESH
● Coordinator for Branding & Promotions of Techfesia’18 (Technical Fest)
Others
● Been an active participant in dance competitions and public speaking contests.
Father’s Name : D KRISHNA MURTHY REDDY
Date of Birth : 01-07-1998
Languages Known: Telugu, English.
D PAWAN KALYAN REDDY