Complete Machine Learning In 6 Hours| Krish Naik

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Information Complete Machine Learning In 6 Hours| Krish Naik

Title	:	Complete Machine Learning In 6 Hours\| Krish Naik
Lasting	:	6.37.52
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Views	:	412 rb

All the materials are given below githubcom/krishnaik06/The-Grand-Complete-Data-Science-Materials/tree/main
Comment from : Krish Naik

39:30
Comment from : Pankaj Kumar

Error rendering embedded code br brInvalid PDFbrgetting this msg while accessing some of your pdfs sir
Comment from : yogit gurram

sir i hope this reaches you and you reply me pls that i have a doubt that in your complete ml playlist which consists of 153 videos , i have seen some of the videos where you have explained what is what and mathematical concepts behind that and i need to ask whether the code implementation part of every algorithm is also there in that playlist or what do you suggest for code implementation
Comment from : yogit gurram

is this for begginers?
Comment from : Shubham khandelwal

❤
Comment from : RAJAT CHAUHAN

Best Machine learning content out there😊😊😊
Comment from : Code With EmmaPrime

Hi Sir, Can you please help me with the content notes? I tried accessing the given link but it is not working
Comment from : Jaimin Sagar

Really great content right here; from the rudiments to the practical application is covered here regarding all the traditional ML Algorithms! Just Amazing Period
Comment from : Adnan Hassan

is this the complete machine learning??
Comment from : Vazahat Qureshi

Sir in your machine learning playlists of Hindi and English have vast difference in quality as well as quantity, why so?
Comment from : Nandit Sharma

5:06:42
Comment from : kartikey Bartwal

very nice voice, no confusion for listening
Comment from : Padhai Dot Com

Can we see only this video before placement??
Comment from : Lisha Sharma

48:24 Didn't understand Can someone elaborate??
Comment from : Arindam Phatowali

Can you please share these slides, if already done can anybody tell??
Comment from : Ajay babu Patel

while you might encounter Gini impurity values higher than 05 in the context of the Iris dataset, this is due to the multiclass nature of the problem and the specific calculation used for multiclass Gini impurity It doesn't imply that the maximum impurity for multiclass problems is 05; that limit applies to the binary case
Comment from : jiya

1:13:13 Underfitting me High-bias & Low-var aayega @krish naik
Comment from : HuNting Boy

I don't understand at around @2:32:00, why are we not using Linear Regression directly, as there's no case of overfitting Let me know if I make sense here, but overfitting would be there if our training model had shown 100 accuracy We haven't checked that, and are using ridge and lasso Please help me understand I believe we should only have used Linear Regression for our purpose Thanks
Comment from : Sanchit Agarwal

Sir material link of this course has expired can u plz provide us a fresh link for annotation notes of what u have explained in this video
Comment from : Ashutosh Anand

is this video enough to crack data science interviews?
Comment from : Kavi-learn

Explanation of logistic regression was the most awesome explanation that i ever foundThank you for the session Krish
Comment from : Mani Ratnam

Watching it to revise my concepts before my internal exams I have exams in 7 days
Comment from : 69 Ashish Yadav

Wah Wah - Excellent Video
Comment from : Qasim Khan

I am watching this video now but could not fetch this boston housing prices data set as sk learn maintainers are telling us strongly not to use this datasethow can i complete this tutorial now??@krishnaik sir
Comment from : Bajrang Sharma

amazing content! but ads after every 5 mins is a bit annoying and distracting!!
Comment from : Saksham Singh

great explanation of so many algorithms in a short time
Comment from : Tarab alam

will it be possible to get the slides in notes format?
Comment from : Lovedeep Singh

Please share the prerequisite for this video anyone
Comment from : Krish Kumar

Please provide the pdf notes of the lecture
Comment from : Tasawwur Ahmad

Sir , please upload NLP tutorial for beginners
Comment from : jai shivaji

😂
Comment from : Technology World

Definitely good and great refresher who has exposure in ML,STATS and MATH(calculus and Algebra)but not for absolute beginners , if you want to learn ML without prior knowledge, Andrew's course in coursera is the best, you can audit the course for free over there
Comment from : jagan karukonda

Your presesentation and teaching is excellent!
Comment from : Busuyi Alabi

Sir, the link you have given to access the notes is not working Can you update the notes link
Comment from : Sheraphine Shovan M

Thank you Krish, this is very helpful I'm beginner, is it possible to get the notes of the video?
Comment from : genai142 Kumar

Perfect Ml video all over YouTube You're explanation is just amazing 🤩 Thank you so much ( I'm now only at the beginning😅 many more to go )
Comment from : zeroxia

6hrs ago, I don't know machine learning 💀💥 Classic✨
Comment from : Navaneeth Stark

sir i cant find the materials in the below linkbut the the video is just awesome
Comment from : Oishik Das

i hate ads on this channelbr
Comment from : sangeet

Thoroughly enjoyed the videos I was able to get over the fear of learning ML as it made my learning process smooth Thank you ❤️
Comment from : Tripta Bhattacharjee

Got placed in TCS Research and Innovation Lab by just watching your videos 🥳🥳🥳 Thanks for making these awesome videos @Krish Naik❤
Comment from : Rashid Imam

given link for the materials is not working
Comment from : Maaz Ashhar

wow! very useful content❤❤
Comment from : A2Y Automobile

thank you sirrr
Comment from : Priyank naik

timestamp 1:06
Comment from : Anshul Raina

AWESOME!
Comment from : Saheli Dutta

It is in which programming language?
Comment from : Strange Things

anyone have the notes because the website is not opening
Comment from : Rahul

My stamp @24:00
Comment from : J M

Thank You Sir, for this vdo
Comment from : sudhir mallick

3:13:37 bhaiyaku loosu pudichirchu
Comment from : ONLY HUMAN

just now completed full video until 6:37:51 video in 2X mode Tq Guruji
Comment from : vamsi krishna ravilla

I am unable to understand what you are teaching it looks very difficult for me
Comment from : Vinod Yadav

Editing tool name? (Black screen tool name please)
Comment from : Sanjay Makwana

xgboost - similarity calculation is wrong the numerator is sum of squares and not square of sum
Comment from : TelaKovela

Great video! I think your Bias definition is backwards @5:38:37
Comment from : Ryan Ondocin

Can somebody tell me from where will I get the notes of this video?
Comment from : Sudhanshu Bhardwaj

Why 1/2m? If we differentiate the value "2" should come at the numerator But here the value has come at denominator? Can anyone answer this for me please?
Comment from : PAVAN KUMAR

5:38:29,please clarify on the statement how model has high bias when its performing well on training data
Comment from : rafi basha

3:54:54 hmmm wait what?
Comment from : k201083 Muhammad Rayan Ali

16:08 Based on customer segmentation later on we can decide classification or regression please someone explain this
Comment from : Syed Siddiq

I wish i could give 10000 likes to this video
Comment from : tushar Singh

Hello Krish!! Can't download study material from your given link please check
Comment from : Hema yogi

thank you soo much sir for your great explanation
Comment from : srikanth nimmala

You are the best teacher 🥰 Regards from Malaysia
Comment from : Rosnawati Abdulkudus

your material link is not exist nowplease krish sir send new link to study this lecture please krish sir this the humble request
Comment from : the facts

Do anyone have course materials, as given link in description for materials is not working
Comment from : Govind Choudhary

Thank you very much
Comment from : Onkar Patil

sir can u provide the new materials link
Comment from : ash B

❤️❤️❤️❤️
Comment from : Keerthivasan Sundararaman

Thank you, Krish, for such an incredible Tutorial, Have you made all the PDF files available?
Comment from : Ewnetu Abebe

What an amazing tutorial ever seen, Thank you, Krish, but Have you put all the pdf materials kindly
Comment from : Ewnetu Abebe

so many ads yaar
Comment from : tushar mehta

👏👏🙏
Comment from : KillingIsEasy

15:45
Comment from : Rishav

Hi @krish can you please provide the notes of this session
Comment from : Charan Gowda M N

- 18:16
Comment from : Sourav Samant

Could you mind to share the notes you have used for this amazing video I have ever seen in the internet Please as It will help us a lot to go with your lecture I think
Comment from : Mohammad Ashraful Hoque