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Machine learning notes on: NearestNeighbor, Conformal Prediction, Inductive Conformal, Over/UnderFitting, Learning Curves, Cross-Validation, Cross-Conformal Prediction, Feature Engineering, Linear/Ridge Regression and Lasso, Pre-Processing and Parameter selection, Kernel Methods, Neural Networks and SVMs, Pipelines

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Machine-Learning-notes-examples

Machine learning notes on:

NearestNeighbor, Conformal Prediction, Inductive Conformal, Over/UnderFitting, Learning Curves, Cross-Validation, Cross-Conformal Prediction, Feature Engineering, Linear/Ridge Regression and Lasso, Pre-Processing and Parameter selection, Kernel Methods, Neural Networks and SVMs, Pipelines

Taught by Volodya Vovk, founder of Conformal Prediction.

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Machine learning notes on: NearestNeighbor, Conformal Prediction, Inductive Conformal, Over/UnderFitting, Learning Curves, Cross-Validation, Cross-Conformal Prediction, Feature Engineering, Linear/Ridge Regression and Lasso, Pre-Processing and Parameter selection, Kernel Methods, Neural Networks and SVMs, Pipelines

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