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Project_Churn
Project_Churn PublicEnsemble Approach in determining the Customer Churn. Achieved 92% Precision with Stratified K Folding and GBM in predicting Churn.
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Bike_Rental_Prediction
Bike_Rental_Prediction PublicThis project aims at predicting the number of bike rentals on given seasonal and environmental features. Achieved a 90% accuracy using Linear Regression with Temperature Type, Day type, Season bei…
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flipkart_scrape
flipkart_scrape PublicThis repository is about the scraping data from the Indian e-commerce giant flipkart.com, Successful scraping of the Product name, Price and the Product ratings. Scraping the Web for extracting the…
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IPL2018Sentiment
IPL2018Sentiment PublicA novice approach in Sentiment Analysis With the sentiment that's extracted, it can be predicted that FANS are more eager towards RCB and CSK.
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Human-Resource-Analytics-and-Employee-Churn-Prediction
Human-Resource-Analytics-and-Employee-Churn-Prediction PublicForked from anishsingh20/Human-Resource-Analytics-and-Employee-Churn-Prediction
A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and m…
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