How Random Forest Performs So Well? Bias Variance Trade-Off in Random Forest

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Understand the reason behind Random Forest's strong performance. This video explains the concept of Bias-Variance Trade-Off in Random Forest in simple terms, revealing why it's a powerful technique in machine learning.
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Опубликовано:

19 июл 2021

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Комментарии : 18

@sameerabanu3115 9 месяцев назад

This guy has beaten all the ML videos on RU-vid, great piece of work

@arun5351 3 года назад

Great job mate! Can you please start time series and it's algorithms. In many of the interviews I attended, the client expectation is that time series is a fundamental concept and one should be adroit in time series problems. Surprisingly, very few trainers on RU-vid are exploring this topic and that too just on the surface. I request you to please start time series lectures as it's very intuitive topic and you're exceptional in explaining complex topics. Regards

@campusx-official 3 года назад

Sure Arun. Noted

@rajeevranjan5007 2 года назад

Thanks for asking

@because2022 2 месяца назад

Great explanation. The way you use visualization is awesome. Keep doing the same in plethora of topics.

@deveshnandan323 Год назад

Next Level Video , Thanks a Lot :)

@bangarrajumuppidu8354 2 года назад

excellent intution

@mdjidmi8822 3 года назад

Love you brother from bangladesh

@barunkaushik7015 2 года назад

Awesome

@sandipansarkar9211 Год назад

finished watching

@akash.deblanq 3 года назад

Will you continue making these videos after 100th day? As a lot of classical algorithms are still left to cover I think. :)

@campusx-official 3 года назад

Yes all the algos will be covered

@sachin2725 Год назад

@@campusx-official Hello Sir, XGBoost is not included in playlist, could you please make a video on XGBoost ?

@balrajprajesh6473 Год назад

best!

@ashutoshverma1418 Год назад

But our variance comes from the test data? How is it impacted by removing the impact of outliers/noisy points from the training data? How random forest reduces variance is not clear to me, if someone could help.

@kamlakarsapkale319 4 месяца назад

Because Weights are already calcuated for features during training

@greeshmavs6437 Год назад

sir your video are excellent, but instead of doing in hindi can you please do it in English, it will help us lot for not understanding hindi language ,it my request

@sandipansarkar9211 Год назад

finished coding