Decision Tree (Basic Intuition - Entropy, Gini Impurity & Information Gain) | NerdML

This video will help you to understand about basic intuition of Entropy, Information Gain & Gini Impurity used for building Decision Tree algorithm. We will mathematically solve the problem. I have divided Decision Tree tutorial into several parts which will cover basic intuition, Classification problem solving & regression problem solving.
Below topics are explained in this video:
1). Agenda (00:40)
2). Introduction to Decision Tree (01:27)
3). Entropy (03:40)
4). Information Gain (07:53)
5). Gini Impurity (11:12)
Do subscribe to my channel and hit the bell icon to never miss an update in the future:
https://www.youtube.com/channel/UC7tzG9dDMcp0-WfGROT9cYw/

Please find the previous Video link -
Support Vector Machine Kernel Trick (Part - 4) | NerdML : https://youtu.be/-OOX-pC8xUY
For connectivity with Machine Learning enthusiasts & professionals hit the link :
https://www.facebook.com/groups/ntirawen1
Prerequisites
Basic understanding of Linear Algebra, Probability, Calculus, Matrix & Python programming including pandas, numpy, scikit learn & some visualization tools.

------------------------------------------------------

Creator : Rahul Saini
Please write back to me at rahulsainipusa@gmail.com for more information

Instagram: https://www.instagram.com/96_saini
Facebook: https://www.facebook.com/rahulsainipusa
LinkedIn: https://www.linkedin.com/in/rahul-s-22ba1993

#DecisionTree, #MachineLearning, #NerdML, #Entropy, #InformationGain, #GiniImpurity, #Mathematics

Видео Decision Tree (Basic Intuition - Entropy, Gini Impurity & Information Gain) | NerdML канала NerdML