Telecom Churn

Churn Prediction Model.

if you have any questions you can ask me on mail: mmigur@bk.ru

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Table of Contents

• Description
• Installation and launch of the project
• My progress

Description

In this project, I used the main libraries for data analysis and machine learning:

• Numpy
• Sklearn
• Pandas

In the NoteBook folder, I created a .ipynb format file where I analyzed the data set, and also visualized the results of the model.

In this work, I will predict customer churn based on available data.

P.s: The dataset is taken from the open course on machine learning from the ODS platform.

Installation and launch of the project

• First we need to install the python interpreter from the official website
• Open the console and enter the commands to install the libraries there:
  • pip install pandas
  • pip install numpy
  • pip install sciki-learn

Launch in CMD

• Go to script folder, write in the terminal command: python/python3 main.py