1.Decision Tree

“A graphical representation of all possible solutions to a decision based on a certain condition”. A decision tree is one of the supervised machine learning algorithms. This algorithm can be used for regression and classification problems — yet, is mostly used for classification problems. A decision tree follows a set of if-else conditions to visualize the data and classify it according to…

How Normalization Affects Random Forest Algorithm
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How Normalization Affects Random Forest Algorithm

  Recently, I was implementing a Random Forest regressor when I faced the classical question: Should I implement data normalization? Before going into the depth of the topic, we will try to understand what normalization is. Normalization The goal of normalization is to change the values of numeric columns in the dataset to a common…