In-Class

Week 1

• Part 1: Mathematical Crash Course for Machine Learning

  • Solutions are located here.

• Part 2: Introduction to Data Science Libraries

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

  • Solutions are located here.

Week 2

• Revisiting Nuclear Binding Energies with Linear Regression

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

  • Solutions are located here.

Week 3

• Regularized Linear Models

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

Week 4

• Classification with the Penguin Data Set (The New Iris Data Set)

Week 5

• Predicting Housing Costs in California

Week 6

• Unsupervised Learning with Generated Data Sets

Week 7

• Creating Neural Networks with Scikit-Learn and Keras

Week 8

•  Additional Features of Keras and Tensorflow Libraries

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

Week 9

• Part 1: Solving Differential Equations Numerically

• Part 2: Solving Differential Equations with Neural Networks

• Part 3: Final Project Update