Labs
Labs can be downloaded from here: [ Raw .ipynb files.]
Lab1 - Introduction
Lab1D - Ecommerce Purchases [Solutions]
Lab1E - SF Salaries [Solutions]
Lab1F - Data Analysis [Solutions]
Lab2 - Linear Regression
Lab3 - Logistic Regression and Naive Bayes
Lab4 - Bayesian Networks
Lab4B - Creating a Bayesian Network
Lab5 - Decision Trees
Lab5C - Decision Trees [Solution]
Lab5D - Ensemble Methods [Solutions]
Lab6 - Support Vector Machines
Lab6A - Support Vector Machines
Lab6B - Support Vector Machines [Solutions]
Lab7 - Neural Networks I
Lab8 - Neural Networks II
Lab8B - Neural Networks in PyTorch
Lab8C - Training Neural Networks
Lab9 - Clustering
Lab9B - Agglomerative Clustering
Lab9C - Agglomerative Clustering [Example]
Lab9G - Clustering for Classification [Kaggle]
Bonus : Interactive K-means Demo.