customer-retention-analysis

Dataset from: https://www.kaggle.com/datasets/muhammadshahidazeem/customer-churn-dataset

Models used for churn prediction (implemented from scratch):

1. Linear Regression
2. Logistic Regression
3. K-Nearest Neighbors

Respective Accuracies for the models:

1. 82.73%
2. 82.84%
3. 90.25%

Ideas to get a better accuracy:

1. Apply both Ridge and Lasso Regularization
2. Hyperparameter tuning for:
   • Lambda
   • Alpha
   • Learning rate

Open to other suggestions!