Decision Tree Algorithm | Decision Tree in Machine Learning | Tutorialspoint

How does the Decision tree work in Machine Learning? In this tutorial, you will learn about Decision Tree Algorithm in Machine Learning and Important Terms of Decision Tree ( Entropy, Information Gain, Root Node, Leaf Node). Get Certification in AI & Machine Learning: https://www.tutorialspoint.com/certification/artificial-intelligence-and-machine-learning-certification/index.asp Use coupon ""YOUTUBE12"" to get “FLAT 12%’’ OFF at Checkout. Free Study Material: https://www.tutorialspoint.com/machine_learning/index.htm Python for Beginners 2023: https://www.youtube.com/playlist?list=PLWPirh4EWFpEV7539u8r_afMlRbt5sa6Q Quality Learning to UPSKILL yourself only at TutorialsPoint. Timestamps 0:30 Decision Tree 1:15 Problems that Decision Tree can solve 1:51 Decision Tree- Important Terms 2:56 How does a Decision Tree Work? 7:12 Advantages and Disadvantages of Decision Tree Decision tree is a tree shaped diagram used to determine a course of action. This tutorial explains decision tree in machine learning and its implementation. 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. Tutorialspoint, a leading ed-tech platform, offers Simply Easy Learning at affordable prices. Check out more Trending Courses to Learn: http://bit.ly/3KBW32w Subscribe to our Channel to get more related updates and turn on the notification: