Machine Learning

The latest developments in machine learning tools and technology available to data scientists.

Using Random Forests for Feature Selection with Categorical Features

Using Random Forests for Feature Selection with Categorical Features

Python helper functions for adding feature importance, and displaying them as a single variable.

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner
Tuning Random Forests Hyperparameters: min_samples_leaf

Tuning Random Forests Hyperparameters: min_samples_leaf

Tune the min_samples_leaf parameter in for a Random Forests classifier in scikit-learn in Python

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner
Tuning Random Forests Hyperparameters: max_depth

Tuning Random Forests Hyperparameters: max_depth

Tune the max_depth parameter in for a Random Forests classifier in scikit-learn in Python

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner
Tuning Machine Learning Hyperparameters with Binary Search

Tuning Machine Learning Hyperparameters with Binary Search

Tune the n_estimators parameter in for a Random Forests classifier in scikit-learn in Python.

Matthew Alhonte
Matthew Alhonte
Code Snippet Corner