The goal of this project is to predict the health insurance cost incurred by individuals based on their age, gender, BMI, number of childrem, smoking habits and location. The dataset was exported from Kaggle and curated by user Miri Choi. Variable Description age Age of primary beneficiary sex …

Service providers across different industries use customer attrition analysis because the cost of retaining an existing customer is far less than acquiring a new one. In this project, I apply machine learning algorithms to predict a telecom company’s customer churn based on several factors, …

The goal of this project is to build a movie recommendation system, using latest data scraped from GroupLens and The Movie Database. The GroupLens data was last updated on September 26, 2018. The dataset includes data from 283228 users between January 09, 1995 and September 26, 2018, and contains …