Decision Tree Classifier for Beginners | By Dr. Ry @Stemplicity

Hello everyone and welcome to this tutorial on Decision Trees. In this tutorial, we will cover the theory and intuition behind Decision Trees classifiers So what are Decision Trees classifiers? Decision Trees are supervised machine learning technique where the data is split according to a certain condition. Decision trees consist of decision nodes and leaves Leaves are the decisions or the final outcomes and Decision nodes are where the data is split based on a certain attribute. After completing this tutorial, students will be able to: o Understand the theory behind decision trees classifiers. o Describe the difference between decision node and leaves. I hope you will enjoy this tutorial! For more information on this, here’s a link to my new machine learning Classification course on Udemy: https://www.udemy.com/machine-learning-classification/?couponCode=MLC_YOUTUBE_10 Here’s a link to my new machine learning regression course on Udemy: https://www.udemy.com/machine-learning-regression-masterclass-in-python/ Subscribe to my channel to get the latest updates, we will be releasing new videos on weekly basis: https://www.youtube.com/channel/UC76VWNgXnU6z0RSPGwSkNIg/videos