Sources:
Embedded Files
An Introduction to Statistical Learning (with python)
An Introduction to Statistical Learning (with python)
https://www.statlearning.com/
A Course in Machine Learning (by Hal Daumé III)
A Course in Machine Learning (by Hal Daumé III)
http://ciml.info/
An Introduction to Machine Learning (by Miroslav Kubat)
An Introduction to Machine Learning (by Miroslav Kubat)
Python Notebooks
cross_validation_concept(for knn)
ROC_illustration (for DT) , by_hand_calculation (by Majid Jafari & Mohammad Javad Zahedi)
Homeworks
HW1 (deadline: 10th November)
HW2 (deadline: 30th November)
HW3 (deadline: 22th December)
HW4 (deadline: 15th January)
Final Project deadline: 6th February
(This semester will not include oral presentations. Please consolidate your report, presentation slides, and the chosen paper into a single RAR file. Submit the file to cv.kntu2023@gmail.com, using the subject line "ML Final Project )
Note: Reports that are simple translations will not be graded.
Final Project presentation: 6th February
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