Supervised Learning Explained: Classification & Regression Basics 📊

Supervised Learning for Beginners. In this 'Machine learning tutorial', you will learn about Supervised Learning, Classification and Regression with simple examples.
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Timestamps
0:26 Supervised Learning
1:08 Types of Supervised Learning
2:16 Classification
3:16 Regression
3:44 Advantages of Supervised Learning
4:11 Disadvantages of Supervised Learning

This tutorial will give an introduction to supervised learning in machine learning algorithms and its implementation in Artificial Intelligence. In this series you will learn all types of Machine Learning Algorithms, Supervised Learning, Unsupervised Learning, Reinforcement Learning, KNN, Decision Tree, Linear Regression, Support Vector Machine, Random Forest, Naive Bayes, Logistic regression, K means clustering, Hierarchical clustering, Anomaly detection, Q learning, Deep Q Networks, and more.

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