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

Name		Name	Last commit message	Last commit date
Latest commit History 32 Commits
KDD_Cup99		KDD_Cup99
Soil_water_permeability_data		Soil_water_permeability_data
protein_data		protein_data
.gitignore		.gitignore
AirData.py		AirData.py
KFold.py		KFold.py
LeaveNOut.py		LeaveNOut.py
NonSignalData.py		NonSignalData.py
README.md		README.md
Score.py		Score.py
Water_data.csv		Water_data.csv
car_classification.py		car_classification.py
cardata.csv		cardata.csv
config.py		config.py
cyber_attack_classification.py		cyber_attack_classification.py
kNN.py		kNN.py
legacy_script.py		legacy_script.py
metal_ion_prediction.py		metal_ion_prediction.py
protein_classification.py		protein_classification.py
result.csv		result.csv
result1.csv		result1.csv
soil_water_permeability_prediction.py		soil_water_permeability_prediction.py

nhanloukiala/mlGym

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The repository includes code tutorial for Classical Applications of Data Analysis

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