ML Project 2

For the latest project, my Machine Learning professor gave us some sample code (in C) and we have to:

• Convert the sample into the language we’ll be using (Python in my case) and compile & run the linear regression model on the training data, calculating the error using a function.
• Modify the program to accept both the training data and the test data files and run it, calcuating the error for both.
• Rewrite the linear model for regression to work as a classifier, and run it on another set of test and training files, calculating the accuracy.
• Modify the code to use a regularization technique and run the classification model on reduced training and testing data sets with a series of regularization coefficients, calculating the accuracy.
• Write a report comparing and explaining the results.

This is a big challenge, but the first step is for me to convert some C functions he gave us to Python functions (we’re not allowed to use any built-in functions), so I’m off to get started!