Gini Index explained in 3 minutes ! Decision Trees Information Gain in Machine Learning скачать в хорошем качестве

Gini Index explained in 3 minutes ! Decision Trees Information Gain in Machine Learning

In this video we understand an important concept used in decision trees i.e Gini index. It is similar to entropy and we use this to calculate the information gain when splitting a dataset. Its an important concept in Machine Learning and especially Decision Trees and Random Forests. Follow us on Instagram:   / biomedical_basics   ⭕ Subscribe: It takes a lot of time in creating these videos, so please subscribe, it would mean a lot ✅ Subscribe :   / @biomedicalaibasics   ⭕Playlists: ✅Deep Learning in MATLAB :    • Deep Learning in MATLAB   ✅Python Biomedical Image Processing    • Python Biomedical Image Processing   ✅Deep Learning    • Deep Learning   Your queries: gini index,gini index explained,gini index calculation, gini index and entropy,gini index and entropy in decision tree,what is gini index,what is entropy,what is information gain,gini index,information gain,how is decision tree splitted,what is decision tree splitting criteria,how gini index works,how entropy is caculated,gini index example,gini index machine learning,information gain,gini index,decision tree,decision tree algorithm,decision tree machine learning,decision tree in data mining,gini index explained,gini index calculation,build decision tree,Decision tree ML,information gain and gini index,gini index in hindi,decision tree information gain,decision tree in python,dcision tree in r,decision tree solved example,decison tree example,decision tree example in machine learning,Mahesh Huddar,Decision tree ID3