Microsoft Machine Learning Python Samples with ML Server

The samples provided here are divided into two categories: basic and more advanced, real-world. The following samples are available

Category	Sample	Code
Basic	Use a regression to predict wine quality with RevoscalePy	Code
Basic	Use a regression to predict wine quality with microsoftml	Code
Basic	Doing feature selection using mutual information	Code
Basic	Implementing binary classification	Code
Basic	Implementing multi-class classification	Code
Basic	Working with categorical features	Code
Basic	Using formulas	Code
Basic	Using a loss function	Code
Basic	Working with input schemas	Code
Basic	Classifying images using image featurization	Code
Basic	Finding similar images using image featurization	Code
Advanced	Tuning model hyperparameters using a grid search	Code
Advanced	Implementing sentiment analysis	Code
Advanced	Implementing text featurization	Code