8000 GitHub - nhanloukiala/mlGym: ML algorithms & metrics implemented from scratch
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The repository includes code tutorial for Classical Applications of Data Analysis

cyber_attack_classification.py : Code with the dataset of KDD cup 99
car_classication.py : Code with the problems of the Car Quality dataset from UCI.
kNN.py : self-implemented K Nearest Neighbors classifier.
KFold.py : self-implemented KFold and shuffle used for Cross Validation.
LeaveNOUt.py : self-implemented LeaveNOut cross-validation with Dead zone radius.
Score.py : self-implemented Scorer for misclassification rate, confusion matrix, concordance index

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