- Jupyter Notebook
- Loading Data: Iris Dataset, MNIST Dataset v1, MNIST Dataset v2
- Training and Test Data
- Matplotlib Library: plot MNIST dataset
- Seaborn Library
- Linear Regression: Diabetes Dataset, Housing Dataset
- Binary Classification
- K-Nearest Neighbors: KNN; MNIST Classification
- Naive Bayes Classification
- Principal Components Analysis: PCA
- K-Means Clustering
- Face Recognition using Support Vector Machine (SVM) and PCA
- Character Recognition using Multi-Layer Perceptron (MLP)
gedegithub/basic-machine-learning-using-scikit-learn
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