Table of Contents
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.
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
- Free API, comming soon
- 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.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE for more information.
Binyam Sisay - binasisayet8790@gmail.com
Project Link: https://github.com/Bina-man/Pharmaceutical-Sales-Prediction