Machine_Learning_Practice

Practice code for machine learning algorithm

These algorithms are written by Python

My current machine learning pratice code include:

Binary classifiers:

I used UCI Pima Indians Diabetes Data Set which can be found [here] (https://archive.ics.uci.edu/ml/datasets/Pima+Indians+Diabetes)

• Maximum likelyhood estimation classifier
• Naive Bayes classifier
• KNN (This one uses KDtree instead of bruteforce from sklearn so that the time complexity is O(nlogn))
• parzen_windows_likelyhood (also use KDtree from sklearn)
• ...

Keep updating...