Regression is a modeling task that involves predicting a numeric value given an input. Linear regression is the standard algorithm […]

# Archive | Python Machine Learning

## Nearest Shrunken Centroids With Python

Nearest Centroids is a linear classification machine learning algorithm. It involves predicting a class label for new examples based on […]

## How to Develop LASSO Regression Models in Python

Regression is a modeling task that involves predicting a numeric value given an input. Linear regression is the standard algorithm […]

## How to Develop Ridge Regression Models in Python

Regression is a modeling task that involves predicting a numeric value given an input. Linear regression is the standard algorithm […]

## How to Develop Elastic Net Regression Models in Python

## Robust Regression for Machine Learning in Python

Regression is a modeling task that involves predicting a numerical value given an input. Algorithms used for regression tasks are […]

## Gaussian Processes for Classification With Python

The Gaussian Processes Classifier is a classification machine learning algorithm. Gaussian Processes are a generalization of the Gaussian probability distribution […]

## Radius Neighbors Classifier Algorithm With Python

Radius Neighbors Classifier is a classification machine learning algorithm. It is an extension to the k-nearest neighbors algorithm that makes […]

## Linear Discriminant Analysis With Python

Linear Discriminant Analysis is a linear classification machine learning algorithm. The algorithm involves developing a probabilistic model per class based […]

## Multi-Core Machine Learning in Python With Scikit-Learn

Many computationally expensive tasks for machine learning can be made parallel by splitting the work across multiple CPU cores, referred […]