Collection of educational data science ideas in Jupyter Notebooks
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Regularization: Outline of some of the maths behind regularization, and some justification for different properties of L_1 and L_2 regularization. https://nbviewer.jupyter.org/github/rshanker779/jupyter-data-notebooks/blob/master/notebooks/regularization.ipynb
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Gradient Boosting: Intuition behind gradient boosting. https://nbviewer.jupyter.org/github/rshanker779/jupyter-data-notebooks/blob/master/notebooks/gradient_boosting.ipynb
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Feature Importance for decision trees and ensembles of trees. https://nbviewer.jupyter.org/github/rshanker779/jupyter-data-notebooks/blob/master/notebooks/feature_importance_decision_trees.ipynb