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Welcome to the wiki!

• What to find in this repository
• About the Python libraries used in this repo
• Euclidean distance vs Manhattan distance
• machine learning introduction
• machine learning algorithms overview
• Introduction to arrays using numpy
• visualize a dataset using seaborn
• manipulate dataset with pandas
• classification using SVC (Support vector classifier)
• Graph a dataset using matplotlib
• Use k-Fold Cross Validation to evaluate the performance of a trained model
• Remove irrelevant features to reduce overfitting using RFE (Recursive Feature Elimination)
• transform non numerical labels to numerical labels with LabelEncoder
• split a column into multiple columns (One Hot Encode)
• data preparation example