This projects involves predicting whether a customer will churn from a Telcom Company Some of the activities performed during the project involved:
- data exploration
- data preprocessing: removing duplicates, type casting, handling missing values, handling categorical variables
Randomized search was used to get the optimum hyperparameters that minimizes the loss function
The classifiers performed quiet well
More informatin about the dataset is available at kaggle.com