COMP 472 - Mini Project 1

Due: October 18th, 2021

Description

Experimentation on various machine learning algorithms and different data sets.

Objective

Experiment with built-in functions from the scikit-learn library and perform an analysis on the results

Authors

• Celia Cai (ID: 40098535) (Github Username: CeliaCaii)
• Michael Lee (ID: 40054375) (Github Username: mlee97)

Tools Used

• Python 3.8
• scikit-learn library
• Anaconda
• Jupyter Lab

Instructions

1. Download repository
2. Install Anaconda3
3. Open Anaconda Navigator
4. In the applications menu, launch Jupiter Lab
5. In the file browser, locate the directory where you downloaded the repository.
6. To access the python code in Task 1, open Task 1/Task1_src.ipynb
7. To access the python code in Task 2, open Task 2/Task2_src.ipynb
8. Once a file has been selected, press 'Run the selected cells and advance'
9. Each file should output 3 txt files, one for distribution, one for performance, and one for discussion. All files should appear in the same directory as the python code.
10. TROUBLESHOOTING: Click on the stop button ('Interupt the kernel'), if it appears that the code isn't outputting properly.