Predict whether a particular Telecom Customer will Churn or Not ?
Customer Churn Analysis And Prediction 
Customer Churn is defined as the rate at which customers stop doing business with an entity. It is most commonly expressed as the percentage of service subscribers who discontinue their subscriptions within a given time period.
Customer Churn is a major concern for all types of industries/businesses. This leads to business losing revenue, and decrease in profits.
The main aim of the project is to, predict whether a customer in a Telecom Company is Likely To Churn Or Not. This project aims to develop Machine Learning Models, that can be used by the company to predict the likelihood of a customer churn. This project makes use of a dataset, that contains various parameters collected about various customers of a telecom company, and also contains a Target Variable, which is whether the particular customer has churned or not.
Link To Dataset
The project is implemented using Python3.
The following frameworks are used in the Implementation Of The Project.
Pandas
Seaborn
Scikit-Learn