This assignment was completed as a mandatory component of the course "CSE574 - Introduction to Machine Learning" at the University at Buffalo.
THis repository contains code for the assignment where logistic and linear regression are applied to datasets wine-quality dataset and penguins dataset respectively. To run the code-
- simply download all the files to your computer.
- download winequality red dataset from the following link- https://archive.ics.uci.edu/dataset/186/wine+quality
- download penguin dataset from the following link- https://github.com/mwaskom/seaborn-data/blob/master/penguins.csv
- keep all the csv files in proper lcoations and give the same address to the pd.read_csv() enabling it to properly read the datasets.
- Simply run all the cells of the jupyter notebook and the code should work fine! :)
Thanks!