Hyperparameter Tuning Random Forest using GridSearchCV and RandomizedSearchCV | Code Example

[@AbhishekKumar-nq3ro]

best place to learn ML. I generally prefer books over learning videos. But your videos are excellent, much better than any other video or book. very simple and easy to understand.

[@shivaaryaprakash]

After watching your video one can not stop himself/herself to comment. What a knowledge you have and the way you explain is outstanding.. Thank you so much

[@zunaidqureshi8521]

this is the best and easiest practical approach on Hyperparameter tuning

[@usamaalicraft3646]

Best channel for machine learning. I will recommend everyone to learn machine learning from this channel.

[@a1x45h]

I am in the 30th tutorial now. I will catch up soon Nitish. I am following your videos religiously and practicing the same on kaggle databases. Very lucky to have found out your channel.

[@Moiz_tennis]

I have seen almost all videos on yt about ML and datascience, none matches yours. You have made complex topics very simple and actually made the intuitions crystal clear. I hope to see your channel get the deserved attention and grow rapidly❤

[@aanalpatel5361]

Completely got the concept of how to implement the hyper parameter tuning to various algorithms! Thank you so much sir for your time and efforts.

[@storiesshubham4145]

Unbelievably simple and superb explanation

[@ameydesai6761]

wonderful explaination till date ,waiting eagerly for xgboost indepth

[@bangarrajumuppidu8354]

excellent teaching

[@surajJoshiFilms]

At 7:55 i couldn't understand what should i watch to understand ?

[@rboolean693]

3:23 Logistic Regression be like : Don't underestimate me 😎😎

[@ShivamKashyap-ch8pn]

😂😂😂

[@MohiuddinShojib]

it is a nice explanation thenk you

[@mdjidmi8822]

Amazing tutorial sir

[@campusx-official]

Keep watching

[@tarunsingh-yj9lz]

Thank you for such great explaination, could you please update the URL for Heroke Webapp its not working

[@mayankrathi6746]

sir i have a doubt regarding hyperparameter tuning as if we are doing all preprocessing in column transformer and pipeline and we havent tranformed the traning data until we fit it in the pipeline how can we apply hyperpameter tuning fit on training data as it contains catogerical column....???

[@rohankamble6424]

Do you have video on xgboost?

[@surajsawane8729]

Sir also make tutorials on end to end deployment using flask thanks in advance

[@campusx-official]

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[@rockfighter9974]

Nice video

[@rashidsiddiqui4502]

thank u so much sir

[@IRFANSAMS]

Whenever , I feel like I am stucked at any point , I just start searching for the solution in this channel @Campusx

[@AbdulRahman-zp5bp]

THANK YOU 3000

[@GamerBoy-ii4jc]

Amazing Sir! Sir please suggest me that how to built a website using python which tools are require for this? if there is any video on your channel please share me the link i haven't found.

[@SachinModi9]

Query : Grid search is finding out every possible combination and finds out best possible combination. Random Search is taking combinations randomly. How random search cv could be having more accuracy than grid search cv?