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To understand what is a decision tree let us consider an example: Suppose a bank wants to decide, whether they want to give loan to a...

K-Nearest Neighbours is a simple algorithm, where the prediction for a new instance is the plurality class among its k closest neighbours.

An easy explanation of K-fold cross validation, with examples

Explaining training and test sets in detail.

While dealing with data often there are categorical columns which can be nominal or ordinal in nature. Thus, to make best use of them we...