1.3 KiB
1.3 KiB
Machine Learning Portfolio
A collection of end-to-end machine learning projects covering regression, classification, and linear models built from first principles.
Projects
| Project | Task | Highlight |
|---|---|---|
| housing-price-regression | Regression | Full pipeline (EDA → feature engineering → tuning → evaluation), test R² 0.72 |
| classification-project | Classification | Binary/multiclass/multilabel/multioutput on MNIST, Random Forest ROC AUC 0.997 |
| linear-models | Linear models | Normal equation, gradient descent, and regularization implemented from scratch |
Each project folder has its own README with the specific approach, results, and notebook.
Tech stack
Python, pandas, NumPy, scikit-learn, matplotlib, seaborn
Author
Reza — Computer Networks student, LPIC-1 GitHub