📊 Telco Customer Churn Prediction

This machine learning project predicts whether a telecom customer will churn based on various features like contract type, tenure, and monthly charges.

📁 Files

• telco_churn_prediction.ipynb: Jupyter notebook containing EDA, preprocessing, model training, and evaluation.

📊 Features Used

• Gender
• SeniorCitizen
• Tenure
• Monthly Charges
• Contract
• Internet Service
• Payment Method
• Total Charges

🧠 ML Models Tried

• Logistic Regression
• RandomForestClassifier
• KNeighborsClassifier

🔍 Dataset

Source: Kaggle - Telco Customer Churn

🚀 How to Run

1. Clone the repo or download the notebook
2. Open the .ipynb file in Google Colab or Jupyter
3. Run all cells step by step

📦 Requirements

pip install -r requirements.txt