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Step 1:- Creating the decision tree # import statements from sklearn import datasets from sklearn.model_selection import train_test_split from...
A tree like graph which uses branching method to show the output of every decision. Nodes - each attribute / feature of a dataset, which asks a...
Neural networks mimic the process of human brains, to teach things to a computer. It works the same way as how brain passes certain signals to our...
True positive (TP) - Actual values are positive and are predicted as positive. Example:- Out of 100 patients cancer dataset, say 40 of them have...
It is a technique where the machine tries to learn with past or historical data. Later on, predicts the given data based on what it...
To make clusters within clusters. Each data point belongs to many clusters. Time-consuming and resource intensive. Finding the distance between 2...
