👾 Machine Learning & Data Science | CE Freshmen 👾
- Documenting and Studying ML/DS full-time
- Trying to building real projects with end-to-end pipelines, clean code, and full documentation.
- Sharing my progress and explaining ML/DS on my Github or linkedIn.
- Exploring the intersection of Mathematics, Physics, and Computer Science through Machine Learning and software development.
- Always happy to collab even simple stuff.
| Project | Repository | Description |
|---|---|---|
| 🆕 Neural Networks From Scratch (Active Development)🆕 | NN-s-from-scratch-with-viuals | A from-scratch neural network framework built with NumPy, featuring custom neurons, layers, backpropagation, gradient descent, and interactive visualization of training. |
| 📈 Classical Machine Learning | Machine-learning-Models | From-scratch implementations of Linear Regression and Logistic Regression, including gradient descent, feature normalization, evaluation metrics, and mathematical derivations. |
🔥NEW neural network project is finished only notes and jupyter notebooks are left 🔥
- Email: [email protected]
- Telegram: @ShGody
- Linkedin: Sahand Khodayi
