Digital Data Science

Handling a dataset (scikit-learn);
Data normalization/normalization min-max;
Principal Component Analysis/Linear Discriminant Analysis (PCA/LDA);
Classifier : Minimum Distance Classifier (MDC)
Nearest Neighbor Classifier(NNC)/K-Nearest Neighbor Classifier(K-NNC)
Logistic Classifier/Parzen Classifier
Naïve Bayes Classifier (NBC);
Clustering (kMeans);
Gradient Descent;Gradient Descent fo Linear Regression;

CODING IN PYTHON.
It's an uncomplicated and very quick job to do in python for a good data scientist