https://github.com/amir-tav/ml-code-challenges

This is a repository that addresses the challenges provided by "ML Code Challenges" website!
https://github.com/amir-tav/ml-code-challenges

Last synced: about 2 months ago
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This is a repository that addresses the challenges provided by "ML Code Challenges" website!

• Host: GitHub
• URL: https://github.com/amir-tav/ml-code-challenges
• Owner: Amir-Tav
• Created: 2024-11-13T20:56:50.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-13T21:46:40.000Z (2 months ago)
• Last Synced: 2024-11-13T22:22:53.225Z (2 months ago)
• Language: Jupyter Notebook
• Size: 34.2 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ML Code Challenges 🌟  

Welcome to my **ML Code Challenges** repository! This project is dedicated to tackling daily ML and deep learning challenges offered by [Deep-ML](https://www.deep-ml.com/), a platform that provides a range of tasks to strengthen our skills and understanding of machine learning, deep learning, and data science fundamentals.

This is an ongoing project where I will continuously add new solutions to challenges, exploring a wide range of ML concepts, from linear algebra fundamentals to advanced neural network implementations.

## About the Project  

The ML Code Challenges aim to:

- **Enhance practical ML skills** by working on real-world inspired tasks.

- **Deepen understanding** of core machine learning and deep learning concepts.

- **Encourage consistent learning** with daily challenges covering various difficulty levels, from **Easy** to **Hard**.

Each challenge solution is organized in Jupyter notebooks with code explanations, step-by-step solutions, and documentation for easy navigation and learning.

## Completed Challenges  

Below are the completed challenges so far. This list will grow as I continue to tackle new tasks.  

1. **Solve Linear Equations using Jacobi Method (medium)** [Code](https://github.com/Amir-Tav/ML-Code-Challenges/blob/main/Linear%20Equations%20using%20Jacobi%20Method.ipynb), [Link](https://www.deep-ml.com/problem/Solve%20Linear%20Equations%20using%20Jacobi%20Method) 

2. **Principal Component Analysis (PCA) Implementation (medium)** [Code](https://github.com/Amir-Tav/ML-Code-Challenges/blob/main/Principal%20Component%20Analysis%20(PCA)%20Implementation.ipynb), [Link](https://www.deep-ml.com/problem/Principal%20Component%20Analysis%20(PCA)%20Implementation)

3. **Calculate Eigenvalues of a Matrix (medium)** [Code](https://github.com/Amir-Tav/ML-Code-Challenges/blob/main/Calculate%20Eigenvalues%20of%20a%20Matrix.ipynb), [Link](https://www.deep-ml.com/problem/Calculate%20Eigenvalues%20of%20a%20Matrix)

4. **Calculate Covariance Matrix (medium)** [Code](https://github.com/Amir-Tav/ML-Code-Challenges/blob/main/Calculate%20Covariance%20Matrix.ipynb), [Link](https://www.deep-ml.com/problem/Calculate%20Covariance%20Matrix)

5. **Calculate 2x2 Matrix Inverse (medium)** [Code](https://github.com/Amir-Tav/ML-Code-Challenges/blob/main/Calculate%202x2%20Matrix%20Inverse.ipynb), [Link](https://www.deep-ml.com/problem/Calculate%202x2%20Matrix%20Inverse)

## Acknowledgments 🌐  

A big thanks to [Deep-ML](https://www.deep-ml.com/) for providing these excellent daily challenges, and to the open-source community for inspiring collaborative learning in ML!