Introduction to Machine Learning | A Matlab Based Approach_Classification Learner App

#free #matlab #microgrid #tutorial #electricvehicle #predictions #project Statistics and Machine Learning Toolbox™ provides functions and apps to describe, analyze, and model data.

We can use descriptive statistics and plots for exploratory data analysis, fit probability distributions to data, generate random numbers for Monte Carlo simulations, and perform hypothesis tests.

Regression and classification algorithms let you draw inferences from data and build predictive models.

The toolbox provides supervised and unsupervised machine learning algorithms, including support vector machines (SVMs), boosted and bagged decision trees, k-nearest neighbor, k-means, k-medoids, hierarchical clustering, Gaussian mixture models, and hidden Markov models.