Regression is very important and is broadly used as a statistical and machine learning tool. The key objective of regression-based tasks is to predict output labels or responses which are continuous numeric values, for the given input file. Introduction The ...

Classification and regression trees (CART) may be a term used to describe decision tree algorithms that are used for classification and regression learning tasks. CART was introduced in the year 1984 by Leo Breiman, Jerome Friedman, Richard Olshen and Charles ...

Stacking is an ensemble machine learning technique that allows combining different prediction models to make a single model that make the final prediction out of the provided dataset. Sometimes these combined models can be same depending up to the type ...

Scikit-learn is probably the most useful library for machine learning in Python. The sklearn library contains a lot of efficient tools for machine learning and statistical modelling including classification, regression, clustering, model selection, preprocessing and dimensionality reduction. The predefined modules ...

A regression model is basically a representation of a set of independent quantity on a unit dependent quantity, that dependent quantity in machine learning is our output value produced from the set of input that is independent values or records. ...