mrolarik / basic-machine-learning-using-scikit-learn

Basic Machine Learning using scikit-learn Tutorial

• 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)

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• Link: https://github.com/mrolarik/basic-machine-learning-using-scikit-learn/blob/master/book/Fundamentals-Machine-Learning-Analyzing-Data-with-Python.pdf