Amazon_Training_Video

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Overview

This is the code for this video on Youtube by Siraj Raval on Amazon Web Services, using SageMaker.

Description

The goal of this project was to solve the problem of a telecom operator losing customers to its competitor. A predictive model was built with classification algorithms to predict the likelihood of churn (leaving a service) of a mobile telephone user.

Random Forest classifier, XGBoost & Decision Tree algorithms were used for training & testing the model while feature engineering was extensively carried out to fine-tune and improve the accuracy of the model.

More work was done in cleaning the data – handling missing values and inconsistency in the data. This project was submitted in a Kaggle Competition.

Usage

Run the jupyter notebook on AWS Sagemaker via this

Credits

Credits for this code go to KelvinOyanna. I've merely created a wrapper to get people started.