CS 371 - Introduction to Artificial Intelligence Homework #7

ML CS Core Exercises

Install our Python Machine Learning environment as described via email. Download the relevant Jupyter Notebooks from Model AI Assignment "CS2023 Machine Learning CS Core".

Complete the following exercises:

• ml-cs-core-1.ipynb: Exercises 1 and 3
• ml-cs-core-2.ipynb: Exercises 1
• ml-cs-core-3.ipynb: Exercise: Working with Data: Data Preparation and Feature Engineering
• ml-cs-core-4.ipynb: Exercise: Neural Network Polynomial Regression

You are encouraged to leverage generative AI in context of these Jupyter Notebook files (e.g. via GitHub Copilot in VS Code). However, you must use generative AI responsibly, assessing quality and correctness of output. For example, does your Gapminder exercise work predict people living hundreds of years in certain countries?

Submit your work by emailing your completed .ipynb file. This will be checked for correctness manually.