Bagging Techniques and its conceptualization for Decision Tree in Tamil | Machine learning #26

Decision trees are constructed via an algorithmic approach that identifies ways to split a data set based on different conditions. It is one of the most widely used and practical methods for supervised learning. Decision Trees are a non-parametric supervised learning method used for both classification and regression tasks
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thanks in advance!!!☑️

[@rajendranraju3885]

Super sir

[@lwm-4501]

Thank you

[@deivamanijegadeesan4547]

Very clear explanation...Thanks

[@santhoshkumarselvarajan2286]

Nice explanation😃

[@lwm-4501]

Thanks,Santhosh Share with your data science aspirants👍

[@washingtonsundar8826]

Big fan bro❤️

[@manojaravinths]

🔥🔥🔥

[@nivebp638]

👍👍👍

[@balajim2107]

Bagging kum cross validation kum enna difference

[@lwm-4501]

CV model reliability of a model estimate pannum!. Bagging boosting aggregate prediction of decision trees pannum!..

[@balajim2107]

@@lwm-4501 tq bro 💙