Project for machine learning classes at university.
Subject: Systems analysis and decision support methods in Computer Science.
The lecturers implemented unit tests and other files. The task was to implement missing machine learning alghoritms in content.py file, using only numpy library.
- to see results, run main.py script,
- to read more about linear regression visit wikipedia.
Check what degree of the polinomial function provides the fits the best and do not cause overfitting.
As the result of main.py you should see a chart with polinomial curves fitted to the training data for each tested polinomial degree.
Stay tuned for my upcoming projects!
