A collections of easy to use recipes in diverse domains using diverse frameworks.

Community detection using NetworkX

Analysis and visualization of communities via NetworkX.

NetworkX: the essential API

NetworkX is the Python graph API you need to understand prior to venturing into graph learning. This is an overview of the essential methods.

Cross validated predictions

Crossval predictions instead of the usual fit-predict approach.

Kernel visualization

Kernels can be seen as histogram generalizations.

Visualizing decision tree boundaries

Visualizing the decision intersections for a 2D classification via decision trees.

Isotonic regression

A lesser-known, step-like function approximation method.

Forests for feature importance

A classic example of using a (random) forest classifier to sort features.

Grid searching the optimal hyperparameter

Using sklearn GridSearch to optimize hyperparameters.

Speech recognition

Using MFCC for speech recognition.

Outlier detection

Detecting outliers in 2D via various ways.