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Name: Renganathan Lalgudi Venkatesan
Type: User
Bio: Data Science Practitioner | MS Business Analytics | Music Lover
Name: Renganathan Lalgudi Venkatesan
Type: User
Bio: Data Science Practitioner | MS Business Analytics | Music Lover
The project aims at identifying the factors influencing the alumni giving rate at universities and developing a linear regression model for predicting the alumni giving rate based on the factors considered. The data used for the project is the alumni.xls file which has data for 48 national universities (America’s Best Colleges, Year 2000 Edition). The analysis was performed using the variables in the dataset along with their interactions. As an outcome of the analysis, we find that we can use only the Student/Faculty ratio variable as the predictor to make relatively precise and accurate predictions for the alumni giving rate.
To study what factors and how they would impact the landing distance of a commercial flight. The business case is to reduce the risk of landing overrun.
Indian Premier League (referred to as IPL) is an annual cricket tournament that is conducted every year in the Indian subcontinent. The objective of this project is to analyze the IPL tournament data set and to generate insights for teams based on their performances at different venues. The major part of the project involves analyzing the data collected over the past nine seasons of IPL from 2008 to 2016 and explore insights that are not commonly perceived. The performance of teams across venues and across time is analyzed using tools like SQL, R and Tableau. Finally, a summary of the analysis is also presented as per the findings from the analysis.
A guide to sharing data with statisticians
Implementation of Digit recognizer using the Keras package with Tensorflow in the back end using Pyhton. Got an accuracy of 0.9816 in predicting digits from the images.
This project involves prediction of housing prices as a part of a kaggle competition. This is more of an academic project trying to learn and understand multiple regression concepts from various solutions present online.
This is the Kaggle competition on predicting the suvivors in the titanic dataset using Machine learning in R
The aim of the project is to analyze the TMDB movie dataset and come up with insights.
Goal: To study what factors and how they would impact binary variables long landing and risky landing
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.