# All Machine Learning algorithms explained in 17 min

All Machine Learning algorithms intuitively explained in 17 min

In this video I will go through all machine learning algorithms in less than 17 minutes to get you an intuitive understanding of how they work and how they relate to each other as well as help you decide how to pick the right one for your problem. Going all the way from Linear Regression to Neural Networks / Deep Learning and Unsupervised Learning.

Also Watch: How to Learn Machine Learning in 2024 (7 step roadmap) https://youtu.be/jwTaBztqTZ0

Chapters:

00:00 - Intro: What is Machine Learning?

00:59 - Supervised Learning

01:37 - Unsupervised Learning

02:20 - Linear Regression

04:04 - Logistic Regression

04:53 - K Nearest Neighbors (KNN)

06:10 - Support Vector Machine (SVM)

07:51 - Naive Bayes Classifier

08:37 - Decision Trees

09:11 - Ensemble Algorithms

09:24 - Bagging & Random Forests

09:53 - Boosting & Strong Learners

10:26 - Neural Networks / Deep Learning

12:42 - Unsupervised Learning (again)

12:57 - Clustering / K-means

14:35 - Dimensionality Reduction

15:15 - Principal Component Analysis (PCA)

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