aayushpaigwar / churn_prediction

Churn Prediction in Telecom Industry using Logistic Regression

Churn_Prediction

Churn Prediction in Telecom Industry using Logistic Regression

What is Churn?

• Churn prediction refers to the process of predicting which customers are likely to leave a company's product or service in the near future. Churn is a common business problem that affects many industries, including telecommunications, software as a service, and retail.
• This project is focused on developing a churn prediction model using logistic regression, which is a popular machine learning algorithm for binary classification problems.

---

Getting Started

• To run this project, you need to have Python installed on your machine along with some necessary libraries such as Pandas, NumPy, Scikit-learn, and Matplotlib etc.

• You can also clone this repository and run the churn_prediction.ipynb file in Jupyter Notebook or any other Python environment of your choice.

• Run this command inside your terminal to clone this repository :

  git clone https://github.com/AayushPaigwar/CodeClause-Churn_Prediction.git

---

Dataset

• The dataset used in this project is downloaded from Kaggle.
• It is available in the repository in CSV format or you can download it from here. It contains customer data such as their demographics, usage patterns, and transaction history.