Classification and Regression in Machine Learning

All Machine Learning algorithms explained in 17 min

Naive Bayes, Clearly Explained!!!

What are Classifiers in Machine Learning | Basic Introduction

Top 6 Machine Learning Algorithms for Beginners | Classification

All Machine Learning Models Explained in 5 Minutes | Types of ML Models Basics

Lecture 3: Linear Classifiers

Machine Learning 1 - Linear Classifiers, SGD | Stanford CS221: AI (Autumn 2019)

Class 12 | Neural Networks as Classifiers | InnoQuest Cohort 1

What is classification in Machine Learning | Binary and Multi-class classification

Support Vector Machine (SVM) in 2 minutes

K Nearest Neighbors | Intuitive explained | Machine Learning Basics

Support Vector Machines Part 1 (of 3): Main Ideas!!!

Machine Learning in Python: Building a Classification Model

Difference between classification and regression [CLASSIFICATION & REGRESSION] 2021

The Math Behind Bayesian Classifiers Clearly Explained!

Linear classifiers (1): Basics

Linear Classification - An visual explanation (2021)

Lecture 5 - GDA & Naive Bayes | Stanford CS229: Machine Learning Andrew Ng (Autumn 2018)

Creating correct and capable classifiers - Ian Ozsvald