Customer Attrition
- Built a model that predicts whether a customer will stop their subscription or not
- Data was sourced from kaggle dataset.
- Performed data cleaning and data transformation to enable the data to be ready for excellent analysis
- Models employed: Random Forest, Linear Model and Decision Tree.
- Logistics Regression performed best with an accuracy result of 80%
- Skills employed include Python, Matplotlib, Sklearn, Logistics Regression, Random Forest Classifier, Support Vector Classifier, Decision Trees Classifier.