| HW | Topic | Dataset | Colab Link |
| 1 | Matrix, Python, Graphs | Sklearn, Seaborn, Plotly | Colab Link |
| 2 | Linear Regression | Sklearn - Boston Housing | Colab Link |
| 3 | Regularization | Ridge, Lasso | Colab Link |
| 4 | Logistic Regression, SVM | Kaggle - Zoo dataset | Colab Link |
| 5 | ANN | MNIST - handwritten numbers | Colab Link |
| 6 | Decision Trees, Random Forest | Sklearn - Iris dataset | Colab Link |
| 7 | XGBoost | Wholesale dataset | Colab Link |
| 8 | KNN, K-Means | Custom dataset | Colab Link |
| 9 | NLP | NLTK - Movie recommendation | Colab Link |
| 10 | Dimensionality reduction and PCA | Sklearn - Wine Dataset | Colab Link |
| 11 | CNN | TFDS - Citrus disease dataset | Colab Link |
| 12 | RNN | Keras - IMDB Movies dataset | Colab Link |
| Lab 1 | Kaggle competition | Colab Link | |
| Lab 2 | CNN, Logistic Reg | CIFAR-10 | Colab Link |
| NLP - Sentiment analysis | Custom IMDB Movie review | ||
| Recommender System | Custom IMDB user ratings | ||
| Random Forest Python Algorithm | Iris dataset |
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