Assignments from my Machine Learning and Deep Learning course

Lab assignments from my Machine Learning and Deep Learning course from my master's degree in Artificial Intelligence Engineering.

Arguments:

• Lab 1: Basic numpy exercises

• Lab 2: Naive Bayes Classification

• Lab 3: Logistic Regression and Gradient Descent

• Lab 4: Support Vector Machines

• Lab 5: Ensemble methods: boosting

• Lab 6: Unsupervised learning: Clustering

• Lab 7: Spectral Clustering

• Lab 8: Dimensionality reduction

• Lab 9: Multilayer Perceptron

• Lab 10: Convolutional networks: VGG-Net

• Lab 11: Recurrent Neural Networks

• Lab 12: Variational Autoencoders

• Lab 13: SARSA and Q-Learning

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