Welcome to my Machine Learning Weekend Challenge! Every weekend, I undertake a new machine learning project and develop it from scratch within 8 hours. The goal of this initiative is to continuously learn, improve my coding and machine learning skills, and better understand my capacity for project execution within a strict timeframe.

This main repository serves as an index for all the projects I've completed as part of this challenge. For each project, I create a separate repository containing all the relevant code, data, models, and a comprehensive README to explain the project in detail.

Every challenge is divided into two 4-hour sessions over the weekend:

• Saturday (4 hours): Understand the problem, design the solution, and begin coding.
• Sunday (4 hours): Finish coding, test the solution, and spend the last 2 hours documenting and presenting the work on GitHub.

Here are the projects that I've completed as part of this challenge:

1. Project 1 - A brief description of project 1
2. Project 2 - A brief description of project 2
3. Project 3 - A brief description of project 3 ...

At the end of every month, I reflect on the projects I've completed and write a brief summary of what I learned and areas I want to improve. Here are my monthly reflections:

• January Reflections
• February Reflections ...

For a more visual presentation of my projects, you can visit my GitHub Pages Website.

I welcome any feedback, suggestions, or collaborations. Feel free to reach out or contribute to any of the projects. Enjoy exploring!