Linear regression is an excellent place to start when using machine learning to predict numbers. Combined with relevant features, it’s a slam dunk. Related content ...

There are dozens of machine learning algorithms, ranging in complexity from linear regression and logistic regression to deep neural networks and ensembles (combinations of other models). However ...

This repository contains MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics behind them being explained. The purpose of this repository was not to ...

Aims to cover everything from linear regression to deep learning. ... Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything ...

Regression Trees: Used to predict continuous numerical values. Use Cases: Customer segmentation. Fraud detection. Medical diagnosis. Game AI (e.g., decision-making in strategy games). (7) Random ...