Interview Prep Day 6-How To Learn Machine Learning Algorithms For Interviews-Random Forest Algo🔥🔥🔥🔥

[@siyays1868]

Amazing, interesting videos. Great interview preparation sessions. Thanku so much Krish.

[@raneshmitra8156]

Thanks Kris for uploading this video

[@siyays1868]

Thanku so much for a helpful video

[@Raja-tt4ll]

Very useful video. Thanks Krish.

[@zenithkottayil1623]

Very good video

[@venkateshlotlikar1621]

Hi Krish...please upload interview vdo of deep learning part 2 soon

[@louerleseigneur4532]

Thanks Krish

[@sandipansarkar9211]

great explanation

[@whoissam7484]

Hlo sir I am going to do bsc. Electronics from du will this help me in AI

[@hardikvegad3508]

Sir next one please K-Means🙏🏻🙏🏻🙏🏻🙏🏻... I want to know performance Matrix of it.. Plzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzzz sir

[@ATHARVA89]

as it is an unsupervised method we dont calculate any accuracy related to it . But to calculate the good of clusters we calculate the silhoutte score which takes into consideration coersion and separability . Hope it helps

[@damayanthig9815]

Can u share links please

[@ratulghosh3849]

Hi sir with respect to Boosting for Random Forest Classifier it will have High Bias and Low Variance.

[@dhirendra2.073]

Random Forest is a Bagging based algorithm

[@arjundev4908]

Boosting has High Bias and Low variance property. any suggestions are welcome!!

[@dhirendra2.073]

Bagging :- high bias , low variance Boosting :- low bias , high variance

[@unezkazi4349]

bandh kyu kiya isko???