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1. Bengaluru-Home-Price-Prediction- Bengaluru-Home-Price-Prediction- Public

   I have taken Bengaluru Home price data from kaggle. Cleaned the data. Applied some feature engineering and Dimensionality Reduction techniques, Outliers detection and removal, Model Building, k-fol…

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2. CREDIT-CARD-FRAUD-DETECTION CREDIT-CARD-FRAUD-DETECTION Public

   The challenge is to recognize fraudulent credit card transactions so that the customers of credit card companies are not charged for items that they did not purchase. Main challenges involved in cr…

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3. healthcare-diabetes-capstone-project healthcare-diabetes-capstone-project Public

   DESCRIPTION AND PROBLEM STATEMENT:  NIDDK (National Institute of Diabetes and Digestive and Kidney Diseases) research creates knowledge about and treatments for the most chronic, costly, and conse…

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4. IPL-EDA-ANALYSIS- IPL-EDA-ANALYSIS- Public

   Exploratory Data Analysis - Sports (Level - Advanced) ● Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’ ● As a sports analysts, find out the most successful teams, players an…

5. Uber-EDA Uber-EDA Public

   We have a cab trip dataset wherein details regarding customer_request_id, pick up point, driver id, Status, Request timestamp and Drop timestamp. Based out of these features , I have cleaned the da…

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