Introduction to machine learning

Contains five machine learning exercises:

• Polynomial regression in scikit-learn
• Regression in scikit-learn on the Boston house-prices dataset
• Classification in scikit-learn on the UCI Wine recognition dataset
• Clustering and dimensionality reduction in scikit-learn using Fisher's Iris dataset
• Hand-written digit classification in scikit-learn and Keras using the MNIST dataset