How Decision Tree works for Regression | AI ML tutorials by a Data Scientist | Thinking Neuron

* Decision trees select the best predictor out of all available predictors by measuring its efficiency using either Entropy, Information gain or Gini index * Basic idea is to choose that predictor which helps to slice the data into two parts in such a way that each part contains similar values of the target variable * This activity creates a “root node”. Basically the first ‘if-statement’ to check to make decisions * keep repeating the same activity with both the slices of data until no further splits can be made. Learn More about Decision Trees at the Thinking Neuron Website using below link https://thinkingneuron.com/data-science-interview-questions-for-it-industry-part-3-supervised-ml/#Explain-how-the-Decision-Tree-algorithm-works #datascience #datascienceinterview #machinelearning #datascienceinterviewquestions #decisiontree #regression