batuhan-basoglu/Mini-Project-of-Machine-Learning
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Batuhan Berk Başoğlu bac9763b0a
Added a README file.
2025-09-22 18:35:17 -04:00
.idea Added the Linear Regression implementations. 2025-09-22 18:10:43 -04:00
linear-regression-parkinsons.py Fixed the merge. 2025-09-22 18:11:56 -04:00
logistic-regression-wdbc.py Fixed the merge. 2025-09-22 18:11:56 -04:00
mini-batch-sgd-linear-regression-parkinsons.py Added weight report and more comments. 2025-09-22 18:10:43 -04:00
mini-batch-sgd-logistic-regression-wdbc.py Fixed the merge. 2025-09-22 18:11:56 -04:00
parkinsons_updrs.data Add files via upload 2025-09-13 10:42:19 -04:00
parkinsons_updrs.names Finished the implementation of the python code. 2025-09-22 18:10:43 -04:00
README.MD Added a README file. 2025-09-22 18:35:17 -04:00
wdbc.data Add files via upload 2025-09-13 10:59:03 -04:00
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