Data Science Project Repository

Project Overview

• Comprehensive guide for anyone interested in learning and applying data science from scratch.

Table of Contents

1. Introduction
2. Getting Started
   • Prerequisites
   • Installation
3. Project Structure
4. Notebooks
5. Machine Learning Projects
   • Random Forest
   • Logistic Regression
   • Bayes Theory
   • Decision Tree
   • Convolutional Neural Networks (CNN)
6. Dataset
7. Contributing
8. License

Introduction

Data Science is essentially the study of data.

Getting Started

Prerequisites

Ensure you have the following prerequisites installed:

• Python (version 3.12)
• Jupyter Notebooks
• Pandas
• NumPy
• Matplotlib
• Anaconda
• Vscode
• We shall be using Google colab for this repo
• [Additional libraries as needed]

Installation

Project Structure

The repository is organized as follows:

G00dlife-datascience/
|-- notebooks/
|-- data/
|-- scripts/
|-- models/
|-- README.md
|-- requirements.txt

• Notebooks: All the notebooks in this repository are located here.
• Scripts: Project write ups and necessary documents here
• Introduction to Python Exercise:
• Solutions -Intro to Python:

Contributing

• Check Contributing.md for guidlines on how to contribute.
  
• If you find any issues or have suggestions, feel free to open an issue or submit a pull request.
  

Licence

• This repository is licenced under Apache-2.0 ,refer to the LICENCE.md for more details.

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