Discover @bhavsar-dushyant Open Source projects

Dushyant Bhavsar (@bhavsar-dushyant)

bhavsar-dushyant

Stars
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Global Rank 793,558 (Top 28 %)
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Registered about 7 years ago
Most used languages

R
75.0 %

HTML
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Location 🇮🇳 India
Country Total Rank 33,218
Country Ranking

R
182

HR-Analytics-Predict-Employee-Attrition

3 famous supervised classification techniques to predict Employee attrition - CART, Random Forest and ANN

Business-Analytics-in-Retail-and-Marketing-Live-data-

The owner of the restaurant wants to use his POS (point of sale) data to come up with a set of recommendations that can help his Café Chain increase their revenues and launch loyalty program for customers. We do not have customer level information and have only POS data for one of the chains.

Brand-Perception-Text-Analytics-NLP

Sentiment analysis on Jeep Compass - Make in India, India launch and export to Japan and Australia

Default-Prediction---Credit-Risk

We are provided data on loan defaults and our objective is to build default prediction models using R. Cleaning of data, Handling unbalanced data, Building model(s) on training data Evaluating model performance using test data.

Managing-Customer-Profitability-at-the-MGM-Grand-Hotel---Retail-Analytics-

Nature of Problem getting solved- How the non-gaming leisure and entertainment business, long considered in Vegas to be secondary to gaming, could be exploited independently and profitably.

Target-Marketing-and-Demand-forecasting-Live-data-

Plumbing & Drain Service company (PDS) offer a comprehensive array of new plumbing installations, repairs, and drain cleaning services using advanced technologies. The main goal of the business is to study, attract, and retain customers by addressing the challenging problem of demand forecasting and customer churn.

Loksabha-election-winner-prediction

Using candidate data from different online data sources (My Neta/ECI), process and cleaned the data, identified variables of interest and built RF model to predict exit poll results of Loksabha election 2014 (Accuracy:84%, TPR: 60%)