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: 4 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
- License: mit
- Created: 2024-11-13T20:56:50.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-11-18T15:13:03.000Z (8 months ago)
- Last Synced: 2025-01-27T10:45:07.657Z (6 months ago)
- Language: Jupyter Notebook
- Size: 36.1 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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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!