DATA_SCIENCE

This repo features Python-based Jupyter notebooks covering data science techniques like data cleaning, EDA, statistical modeling, ML, and visualization. With detailed explanations, code snippets, and visualisations, it's a comprehensive guide for both beginners and experienced data scientists.

This repository contains a collection of Jupyter notebooks showcasing various data science techniques and methodologies. To run this project, follow the steps below:

Requirements

• Python 3.7 or higher
• Jupyter Notebook or DataShell

Installation

1. Clone this repository to your local machine.
2. Open Jupyter Notebook or DataShell.
3. Navigate to the project directory.

Usage

1. Open the notebook you want to run in Jupyter Notebook or DataShell.
2. Follow the instructions in the notebook to run the code and generate the results.

Credits

This project was created by Sphesihle Madonsela. If you have any questions or feedback, please contact me at sphesihlemanuel99@gmail.com.