Data Science Practise

This is a project showing my baby steps to learn data science

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

What things you need to install the software and how to install them

• Python3.6
• Anaconda
• sqlite 3 library to read the sql data
• pandas
• numpy
• matplotlib.pyplot
• sklearn.cluster
• sklearn.preprocessing
• customplot*

Installing

After installing anaconda succesufully run the command anaconda-navigator and launch jupyter notebook Some of the libraries are third parties hence you'll need pip or conda to install them note* customplot is a python file containing customized functions

For example;

pip install numpy

Running the tests

No tests yet

Deployment

Not ready for deployment yet

Built With

• Jupyter Notebook -an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
• Anaconda - a free and open-source distribution of the Python and R programming languages for scientific computing, that aims to simplify package management and deployment.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• edx