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Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course

Frames Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course

Description Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course

Comments Basics Of Principal Component Analysis Part-1 Explained in Hindi ll Machine Learning Course

Happy teacher's day 💐💐 Comment from : A-12 -Archana Bichkule

Topic search karte waqt kuch topics se releted apke videos milte nhi hai lekin ek video bi agar mil jaye toh bas baat khatam chere pe ek alag khushi ho jati hai 😁😁 Comment from : Ashwin Bankar

"Principle" Comment from : Rahul Rao

Nicely explained But spelling of Principal is written as principle 😊 Comment from : One Hand World

salute sir !!! you explained very nice compare to university teacher i can clear my concept of ml thankyou sir hudge respects for you sir keep it up!! sir Comment from : Om Pandya

it's 1hr before my exam Comment from : Kishoreee

I never knew Rohit Sharma was this good at ML Way to go champ Comment from : Harshalsingh Solanki

4 imp points from video --br1 pca solves the problem of overfittingbr2 pca reduces high dimensionality dataset to low dimensionalitybr3 the number of pcs can be less than or equal to the number of attributes although pc also depend on other factor such as dimensionalitybr4 pcs should be orthogonal that is should be independent from each other Comment from : Arty crafty

Comment from : Saksham Gupta

5 min Bol ke 35 min pdha diye sir ji Comment from : Arya Singh

Bhai Dhoni se bade allrounder to ye sir hain 😂😂😂 Koi subject bacha hi nahi hai jis par sir ki video na ho Comment from : Pawan 1401

arey bhai jb maine PCA search kiya h, to direct point pe aa na Comment from : Himanshu Gupta

Wow Rohit Sharma teaching PCA! Comment from : Shahriar Faysal Ferdous

Thanks sir Comment from : Shaista Shaikh

Wownice Comment from : SB Roy Vlogs

THANKS MANNNNNN Comment from : VICKY RAJ RAY

understood Comment from : Tanish Kumar

I wish you made this video in English Comment from : parwiz ibrahimi

Before 3 hours of 3rd sem exam machine learning hahhahahah thanks Comment from : RukhsAr

Not priyanka chopra 🤣🤣🤣 Comment from : Abhinav

5 Mins engineering, gate smashers and Sanchit sir are the life saviors 🌚🌚 lots of love!! Comment from : Ritika Rauthan

brabar🤣🤣😆😆🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣🤣😆😆😆 line also brabar Comment from : Muhammad Sohail

Sir on board there is spelling mistake, it should be 'principal' Comment from : Yousuf Khan

Mr Shridhar mankar you mentioned in your discription " i am a engineer" it's "An Engineer" please correct it, Comment from : atiras

bhai tu video ke starting me hi difficult hai bolkr moral down kar deta hai Comment from : nam khelavan

PCA:brNeed: overfitting, many attributes and features before training need to reduce brPca reduce overfitting, model is trying to reach every point in overfitting, High Dimensionality to low dimensionality brViews: from top PC1, from another point PC2, PC1 Higher priority, Pc1 and pc2 must have orthogonal property ie independent of each other Comment from : Luna Potter

You are grt sir 🙏🏻 abhi 12 bje exam he abhi ye video pd ke jaunga 😀 Comment from : Harshit surana

Tq sir Comment from : Tikeshwari Patel

are bhai pda o yr bate km kro Comment from : Arvind Garasiya

Rohit sharma started teaching Data Science suddenly lol😂 mazaak se hatke, sir bilkul rohit sharma jaise hi dikhte ho🙌😎 Comment from : its_prince4real

The following are measurements on the test scores (X, Y) of 6 candidates for two subject examinations:brbr(50, 55), (62, 92), (80, 97), (65, 83), (64, 95), (73, 93)brbrDetermine the first principal components for the test scores, by using Hotelling's iterative procedure !! Sir how to ??? Comment from : Jyoti Pandey

It is not PRINCPLE as you have written on the board, it is PRINCIPAL Both are different terms Comment from : ORMAKAL MARIKKUMO

can u explain again the priority order , as i can take pc1 or pc2 accordingly to my choice brso how to come up with the priority among PC 's Comment from : Uttam Meena

principal components not priyanka chopda wtf 🙃 Comment from : Ãdìtyå Gûptä

you are the best teacher Comment from : Apurva Ghodeswar

12 hrs remaining for exam and I'm laying in my bed and peacefully watching 5 minute engineering videos😂 Comment from : Sainath Ibitwar

He is best man!!brAmazing learning videos During every exam paper he is there to helpbrThanka sir more power to you! Comment from : John Wick

Thanks a lot for this video💯💯💯💯💯💯💯💯 Comment from : Vedant

Gis subject ka video nahi hai kya 😥😥 Comment from : Afroz R

principal or principle? Comment from : Rajendra Kankrale

This is video is far better than my college professors lecture Comment from : Sahil Pradhan

100 satisfaction is guaranteed on a topic while watching your videos sirbrThank you so much Comment from : PRASANTH KUMAR

do you know what you talking or you just come and make videos by looking at some documentation and no idea about the topic just boggle up some terms in front of the camera? kuch bhi bakwas kiye ja rhe ho Comment from : Alu mini

Andrew Ng - Do not apply pca to reduce overfitting, brLe 5 min engineering - hold my opening statement Comment from : Anuj Kumar

THANKYOU SIR i just love the energy with which you teach thankyousomuch sir you are a great teacher Comment from : Sshubam Verma

Bhai 5 minute bolke 10min k video dal dete ho Comment from : Awaiz Sayyed

bhagwan khud dhrti p nhi aa ske is liy unhone apko banyan❤⭐ Comment from : Kapil Jetwani

my roommate said thank you Comment from : rutambhara joshi

Thank you for saving our career ❤️ Comment from : SERETO

Best Comment from : Rasika Dandawate

sir thank you very much, you explain very well Comment from : Manish

i have gone through your all videos and you explain everything exceptionally well but this time in this video I didn't got what you are trying to say I have watch this video multiple times but still it is getting difficult to understand Comment from : Krunal Sheth

apka konsa video kamal ka nahi hota!!can you plz avoid this shitty line!? Comment from : manajir hassan

Hum e aur pass kar neh ki chahat na hoti, aagar tum na hote, aagar tum na hote 🙏🙏🙏🙏 Comment from : Ankita Ray

Confusing explanation Comment from : Study and Travel with Noman

He teaches whole CS courses!!! Comment from : Amrit Gurung

Thanks! Comment from : Ashish Naik

bht zyda bar "barabar" bol rahe ho irritating ho gaya Comment from : arnav 07

Sir can you explain me absolute principal component scores also Comment from : nikki choudhary

good to hear such informative video Comment from : Fatima

Thanks Comment from : 1021 CSE Hariom Kumar

sir last me thoda confusing ho gya Comment from : Fun unlimited

🙏 Comment from : Hitesh Singh

Thanks! Comment from : Praveen Sharma

bakwaas Comment from : suman sourabh

Love you brother 🌻🌻🌻 Comment from : Girija Prasad Patnaik

You explained a very complicated idea in very easy tips Thanks brother Shaanti rahain Comment from : Sami ud Din

sir you deserve the nobel prize your way of explaining is so amazing Comment from : Naeem Chaudry

'Barobar' : ) Comment from : Lakhan kumawat

If u watch sir at 15x , you'll jus love the energybrI am already loving it ❤️ at 15x though 😂 Comment from : Mr Curious

Thank you so much sir 🙏 Comment from : Anaya

Please try to number your videos so that it would be easy if we didn't come from the playlist and want to refer previous videos in order BTW good explaination!! Comment from : Srikar DVSN

5:23 to bhaiyya aapne galat mentos khaliya hai 😂😂 Comment from : Sketching

Wahh Bhai wahh Comment from : Kumar Sourabh

Please place ads at the start or end of the video Not in the middle as it is a serious topic Comment from : Zeeshan Jamal 1731699

Aap galat mentos kaliye🤣🤣 Comment from : sai harshan

Thank you Sir Comment from : Debatra Das

good explanation sir but please explain in english language sir Comment from : Bangaru Suresh

Not only engineeringit's for also geography ❤️ Comment from : Benojir Yasmin

How come I end up finding the best teachers on Youtube one day before my exam Haha Comment from : Basudha Sakshyarika

I understood everything thank you so much 👌👌 Comment from : Weekend Vibes

Thanks alot Comment from : Awais Ahmad

preventing overfitting is a bad use of PCA The main reason of PCA is better visualization, spped up the process/reduce memory - Source - Andrew NG machine Learning course Comment from : Manu Gupta

awesome means awesome explaination sir thanku so much Comment from : Sudarshan Dev

best video sir its help me a lot Comment from : rubina 6433

9768705309 Comment from : AGDR

Video starts at 1:35 Comment from : Abhay Mittal

Excellent Explanation, Thank U sir Comment from : Sumeet Kaur

3:32 hahaha priyanka chopra Comment from : Doraemon TV

great Comment from : SmrutiDash

Ek hi toh dil hai kitni baar jeetoge sir😂 Comment from : Siddharth Patil

Best and simplest explanation can u suggest any book or PDF of pca Comment from : preeti sengar

Can you explain everything in Englishit would be great to understand Comment from : Datascience Podcast

maximum a posteriori aur maximum likelihood pe video bnao two of the most difficult topics hain ye Comment from : Satish Tyagi

3:20 hahaha, PC not priyanka chupra but Principle component analysis Comment from : Kifayat Msd

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