Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
Churn Prediction G3 Report.pdf		Churn Prediction G3 Report.pdf
Churn_Prediction.ipynb		Churn_Prediction.ipynb
README.md		README.md
Telco-Customer-Churn.csv		Telco-Customer-Churn.csv
requirements.txt		requirements.txt

Repository files navigation

churn-prediction

About

To build a classification system to predict whether a customer will churn or not based on the IBM Telecom Data from Kaggle. Technically, it is a binary classifier that divides clients into two groups-those who leave and those who do not. The classifier will be built using bagging algorithms like Random Forest, boosting algorithms & Neural Networks

neural-network random-forest xgboost logistic-regression adaboost knn-classification

Readme