The basic concepts of validation, hyper-parameters, over-fitting and regularization are introduced in the context of polynomial regression.
These are the workshops and courses belonging to the Data Science series.
Processing your data into the ideal shape for machine learning models
Learn more about high performance tree based model ensembles such as Random Forests and Boosting.
Learn to find structure in unlabeled data by dimensionality reduction and clustering