What are Outliers | Outliers in Machine Learning

Рет қаралды 52,390

Күн бұрын

Outliers are data points significantly different from the majority in a dataset. In machine learning, outliers can impact model performance by skewing results or introducing noise. Identifying and handling outliers is crucial for building accurate and robust machine learning models.
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⌚Time Stamps⌚
00:00 - Intro
00:51 - What are outliers?
04:40 - When should you remove outliers?
07:14 - The effects of outliers in ML algorithms
09:14 - How to treat outliers?
12:01 - How to detect outliers?
15:58 - Techniques for outlier detection and removal

Пікірлер: 29

@pritishpattnaik4674 Жыл бұрын

Sir never fails to make us crystal clear and explain the concepts so nicely by giving real world examples

@viveksahu9291 Жыл бұрын

Amazing way of explaining sir.... Am a huse fan of you

@namansethi1767 2 жыл бұрын

Thanks Sir for all these video

@PriyanshuKumar-bk1dd 4 ай бұрын

Best ML playlist so far❤

@calvinfernandez-hi6ij Жыл бұрын

Guruji in the pervious video, I think the cement dataset one, we had come across bimodal distribution. I had a question about how do we find the outlier in a bimodal distribution. I googled it and found that we have to treat each of them as two independent distributions and then the lower outlier of the first one and the upper outlier of the second one would be our outliers. Thought I would share it.

@sudhanshuranjan7723 2 жыл бұрын

Your way of explaning makes every concept very easy and I am able to retain them. Thanks for making these videos. Hope your channel grows fast to million subscribers.

@ParthivShah 4 ай бұрын

Thank You Sir.

@emondas31 2 жыл бұрын

Kaggle kha jo heart disease dataset hay usmey outliers hay but uako rako ya remove koru eye kese sumajme ayga????

@MuhammadJunaid-yr8jd Жыл бұрын

thank you so much sir

@AltafAnsari-tf9nl Жыл бұрын

Clear, concise and to the point explanation. It helped me avoid wasting time to combine all the resources for a single topic.

@makedifferenteverything1092 Ай бұрын

Sir please explain what is weights i can't understand what are weights even i searched on web but can't understand

@MonkeyDLuffy4885 Жыл бұрын

Let us assume that we have a right skewed data in a column but after applying transformation (log transform) the skewed distribution becomes normally distributed, do we need to apply outlier removal then? Please answer........

@prashanthmanamohan5067 Жыл бұрын

Yes you need to remove the outliers

@AbhishekMishra-gmkng 2 жыл бұрын

great video big bro it really helped me a lot

@priyanshugupta9192 Жыл бұрын

bro full video toh dekho pehle..... half hi video uploaded hai aur aapko helpful bhi ho gya

@AbhishekMishra-gmkng Жыл бұрын

@@priyanshugupta9192 dude muje jo smjna tha vo itne me smj gaya or aap apka gyan kahi or jake de half video ho ya full isse fark nahi padta concept clear hona chahiye

@priyanshugupta9192 Жыл бұрын

@@AbhishekMishra-gmkng dude half video mein full concept kaise clear hogya yahi toh sochne waali baat hai

@AbhishekMishra-gmkng Жыл бұрын

@@priyanshugupta9192 abe tere ko koi kida hai kya muje jitna smjna tha mene smj liya tuje kya padi hai apna kam kar na tu

@sourabhjhod5226 2 жыл бұрын

Bhaiya placement marks wale column ko transform krke normal distribution me convert nhi krskte kya??

@campusx-official 2 жыл бұрын

Kar sakte hai

@AyushPatel 3 жыл бұрын

sir i just wanted to ask that can we write our own machine learning algorithms instead of using sklearn and tensorflow i mean from scratch plz make a video about that. I have been following you whole series. Sir do reply. Thanks to your efforts

@akash.deblanq 3 жыл бұрын

You definitely can do that but its a hectic process. Sklearn is itself built on top of numpy. So yes, you can code simple models like say linear regression in numpy and it is very easy to do that. However, it will be tougher to go past that. If you do so, your understanding of the math will be amazing.

@learnenglish699 2 жыл бұрын

@@akash.deblanq hey akash how i can connect to you ??