Churn Customer Prediction Using LogReg KNN

Churn customer prediction using logistic regression and KNN

Overview

Customer churn is the loss of clients or customers. In order to avoid losing customers, a company needs to examine why its customers have left in the past and which features are more important to determine who will churn in the future. Our task is therefore to predict whether customers are about to churn and which are the most important features to get that prediction right. As in most prediction problems, we will use machine learning. This repository contains 2 model, Logistic Regression and KNN.

Contents

This model contains :

• Data Understanding
• Data Cleaning and Preprocessing
• Data Partition
• SMOTE (Synthetic Minority Oversampling Technique)
• Logistic Regression Modelling
• KNN Modelling