Problem Statement: The training dataset contains 6338 samples and the testset contains 705 samples. Each sample contains 15 features and 1 prediction variable "CustomerAttrition" which indicates the class of the sample.
Objective: To predict the customer Attrition for each customer in the given dataset using data science models.
The Repository contains the following:
- Jupyter Notebook (solution for the problem)
- customerattritionprediction.zip file (contains the data)
- Data Dictionary
- README.md file