batuhan-basoglu/Mini-Project-of-Machine-Learning
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ShaaniBel 5d1e5e75c2 evaluation metrics
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.idea Added the Linear Regression implementations. 2025-09-22 18:10:43 -04:00
linear-regression-parkinsons.py evaluation metrics 2025-09-28 23:29:07 -04:00
logistic-regression-wdbc.py evaluation metrics 2025-09-28 23:29:07 -04:00
mini-batch-sgd-linear-regression-parkinsons.py Updated the mini batch as well. 2025-09-26 21:04:37 -04:00
mini-batch-sgd-logistic-regression-wdbc.py Fixed the comments. 2025-09-26 21:27:52 -04:00
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parkinsons_updrs.names Finished the implementation of the python code. 2025-09-22 18:10:43 -04:00
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wdbc.names Finished the implementation of the python code. 2025-09-22 18:10:43 -04:00

README.MD

Mini Project of Machine Learning

This project implements linear regression on Parkinson’s disease data (analytical solution and mini‑batch stochastic gradient descent) and logistic regression on the Wisconsin Diagnostic Breast Cancer data (using gradient descent and mini‑batch stochastic gradient descent). All algorithms are written in Python.

Authors

  • Batuhan Berk Başoğlu, 260768350 - batuhan-basoglu
  • Shaani Bellemare, 261159662 - ShaaniBel
  • Jared Tritt, 260763506 - Jaredtritt