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.
👉Subscribe to our new channel:https://www.youtube.com/@varunainashots
Other subject playlist Link:
————————————————————————————————————————————–
►Theory of Computation
►Operating System:
►Database Management System:
►Computer Networks:
►Artificial Intelligence:
►Computer Architecture:
►Design and Analysis of algorithms (DAA):
►Structured Query Language (SQL):
—————————————————————————————————————————————
Our Social Media:
► Subscribe us on YouTube-https://www.youtube.com/gatesmashers
► Like Our page on Facebook – https://www.facebook.com/gatesmashers
► Follow us on Instagram-https://www.instagram.com/gate.smashers
————————————————————————————————————————————–
►A small donation would help us continue making GREAT Lectures for you.
►Be a Member & Give your Support on bellow link : https://www.youtube.com/channel/UCJihyK0A38SZ6SdJirEdIOw/join
►UPI: gatesmashers@apl
►Paypal Account: paypal.me/GSmashers
►For any other Contribution like notes pdfs, feedback, suggestion etc
[email protected]
►For Bussiness Query
[email protected]
source