Pre-Class

Week 2

• Part 1: Read about Linear Regression in Chapter 4 of Hands-on Machine Learning (Optional)

• Part 2: Read about the machine learning workflow in Chapter 2 of Hands-on Machine Learning (Optional)

• Part 3: Introduction to Machine Learning with Linear Regression

  • Download the data set here and upload it to your Google Drive.

  • Solutions are located here.

Week 3

• Part 1: Possum Data Set with Linear Regression

  • Download the data set here and upload it to your Google Drive.

• Part 2: Read about ridge regression, LASSO regression, and hyperparameter tuning in Hands-On Machine Learning and the lecture notes. Note that there is no lecture this week because of Labor Day, so ensure you are reading enough to understand the assignments.

Week 4

• Part 1: Classification Problems

  • Download the data set here and upload it to your Google Drive.

• Part 2: Read Chapter 3 of Hands-On Machine Learning (optional)

Week 5

• Part 1: Predicting Prostate Cancer with Linear Models

  • Download the data set here and upload it to your Google Drive.

Week 6

• Part 1: Read Chapter 5 of Hands-on Machine Learning (optional)

• Part 2: Read Chapter 8 of Hands-on Machine Learning, just Intro and PCA (optional)

• Part 3: Read Chapter 9 of Hands-On Machine Learning, just intro and k-means (optional)

• Part 4: Generating Synthetic Data Sets for Classification

Week 7

• Part 1: Read the slides or lecture notes for the week (required)

• Part 2: Read Chapter 10 of Hands-On Machine Learning (optional)

• Part 3: Conceptual and Mathematical Introduction to Neural Networks

Week 8

• Part 1: Read Chapters 10-13 of Hands-On Machine Learning (optional)

• Part 2: Additional Features of Keras and Tensorflow Libraries

Week 9

• No pre-class assignment for this week.