Project Information

Description

The core to succeed in this market lies in the customer itself. Customer churn is a critical metric because it is much less expensive to retain existing customers than it is to acquire new customers. As a result, by addressing churn, these businesses may not only preserve their market position, but also grow and thrive. More customers they have in their network, the lower the cost of initiation and the larger the profit. As a result, the company's key focus for success is reducing client attrition and implementing effective retention strategy.

Achievements

  • Trained various classifiers, performed feature engineering, and optimized hyperparameters, achieving an F1 score of 0.83.
  • Enhanced model performance by implementing XGBoost and applying ensemble learning techniques such as the voting, bagging and stacking methods, boosting accuracy to 86.73%, surpassing individual classifier results.

    • Tech Stack

    Softmax Regression, Support Vector Machine (SVM), Random Forest, XGBoost, Ensemble Learning