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This project is made on TellCo, which is an exisiting mobile service provider in the Republic of Pefkakia. This project aims to have a detailed analysis of the data that underlies the business, to try to understand the fundamentals of the business and especially to identify opportunities to drive profitability by changing the focus of which products or services are being offered.

• PYTHON

This project aims to address the following

• User Overview analysis
  • Data Overview
  • Data Cleaning/Manipulation
  • Uni-Variate/Segmented Univariate/Bi-Variate/Multi-Variate Analysis
  • Outlier Treatment
  • Feature Engineering
• User Engagement analysis
• User Experience analysis
• User Satisfaction analysis

The following should be included in the installation

• Pandas
• Matplotlib
• Numpy

This is an example of how to list things you need to use the software and how to install them.

• pip

  cd Telecom-Data
  pip install requirement.txt

1. Free API, comming soon
2. Clone the repo

   git clone https://github.com/Bina-man/Telecom-Data.git

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Distributed under the MIT License. See LICENSE for more information.

Binyam Sisay - [email protected]

Project Link: https://github.com/Bina-man/Pharmaceutical-Sales-Prediction

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• Img Shields