00:00 – Intro
00:23 – Random forest
04:05 – Step 1
07:03 – Step 2
07:25 – Step3

Random Forest is an ensemble learning method primarily used for classification and regression tasks. It operates by constructing multiple decision trees during training and outputting the mode of the classes (classification) or mean prediction (regression) of the individual trees.

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