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 was to analyze customer transactions in order to investigate and interpret customer behaviours of a certain supplier. For this project, I will use unsupervised ML methods to reduce the dimensionality of this data, and plot the resulting 2-D data, and investigate what the …