Machine Learning 1. Introduction to Machine Learning Lab1: Data Preprocessing for Regression Lab2: Data Preprocessing for Classification 2. Supervised Learning: Linear Models Lab3: Solving a Regression Task Solution Lab4: Solving a Classification Task Solution 3. Supervised Learning: Kernelization Lab5: Kernel Methods Solution 4. Supervised Learning: Model Slection and Ensemble Learning Lab6: Model Selection Solution Lab7: ensemble Learning Solution 5. Unsupervised Learning: Dimension Reduction and Clustering Lab8: Unsupervised Learning 6. Introduction to Neural Networks Lab9: MNIST data analysis Solution Lab10: CIFAR10 data analysis Solution Lab11: Sentiment Analysis Solution Final Project Free to choose Default: Bank Customer's churning rate prediction and customers profiling
