Krish sir @ video 47:40 mins least bother about all their worries go in your own way ...you are doing the things in a crazy way and lot of people are learning all the toughest stuff in a more easier way by your videos..You are the one of the wonder in knowledge sharing .....Thank you
really you taught to see the algorithms in a new way..after this lesson I can say whatever problem you give I can solve them using pen & paper also...thanks a lot for this..
hi Krish, Some people are here to just create a disturbance as they are just following the sheep herd without knowing the complexicity of the Data scicence and all. Don't absorb the negative comment THIS PRACTICAL sessions are pretty good and really helping to those who really wanted to doing some work for learning data science. KEEP DOING IT AND KEEP THE COMBO OF PRACTICAL AND THEORY. @krish
@@keenchkaat1543 actually I'm making note in my copy... If i have made it on Google note or sheet I would have been given the link . Later on I'll give it by making
@video 1:50:23 I fell off my chair. Hahaha classy entertainment. I have learnt so much of ML and DS in less than 2 weeks, the content of yours has gone out on recommendations to every person I found remotely interested in this subject. Great work Krish. Kudos. The 7 day live sessions are truly helpful for working professionals.
Those who have doubt on negative mean square, here's the answer: # neg_mean_squared_error is simple -1 * mean_squared_error. This is because a convention in the Scikit-learn api that all the scorers follow. # All scorer objects follow the convention that higher return values are better than lower return values.
Thankyou so much sir. It is best lacture of naive bayes. Everything you tried to explain is very clear to us and now we are able to solve questions on it. 🤗🤗🤗🤗🤗🤗🤗
Sir you are just awesome. your explaining towards maths and geometric understanding capabilities are just fantastic. keep doing this nobel task for those students who thought that education is free...
Sir @1:39:11 sec you are saying that probability of yes given sunny which will be 2/5 but you are writing answer value for probability of sunny given yes which is 2/9. In Naive Bayes we use Probability of Sunny given Yes which is 2/9. Kindly confirm sir
Krish Sir. I am really the biggest fan of your from Pakistan and i really want your ineuron full stack data science course but i dont have enough money. please can you do something about it.
4:24 Hi Krish Sir. For just an advice, make an ML model on video translator to hindi with your own voice, instead of putting more time on making hindi tutorials.
First of all thank you for this amazing playlist, here learning is fun. I wanted to ask if I want to learn the code as well, what do you suggest? And why are we not doing the code here?
krish bhaiya I really dont like when you give bhav to these nuisance kinda people.. I m loving these lessons ... Dont focus on these idiots... these lessons are so interesting... I th just want keep on learning and keep going
![เปิดบ้าน โคตรสวย ป๋องกพล รู้จักตั้งนาน เพิ่งรู้ว่ารวย!!! l [Nickynachat]](http://i.ytimg.com/vi/tmgCF_2HfYI/mqdefault.jpg)
Krish sir @ video 47:40 mins least bother about all their worries go in your own way ...you are doing the things in a crazy way and lot of people are learning all the toughest stuff in a more easier way by your videos..You are the one of the wonder in knowledge sharing .....Thank you
where can I get the materials used in this video because on website there is no such options
in KNN what if both the numbers in red and white is same ? then how do we decide the category for the point ?
Krish Sir all your sessions on Data Science are great consisting of a lot of learnings. Thank You So Much ..!! 😊
really you taught to see the algorithms in a new way..after this lesson I can say whatever problem you give I can solve them using pen & paper also...thanks a lot for this..
your tutorials and materials are always the best. I'm lucky to know you
hi Krish, Some people are here to just create a disturbance as they are just following the sheep herd without knowing the complexicity of the Data scicence and all. Don't absorb the negative comment THIS PRACTICAL sessions are pretty good and really helping to those who really wanted to doing some work for learning data science. KEEP DOING IT AND KEEP THE COMBO OF PRACTICAL AND THEORY. @krish
Agreed
Agreed 👍
++
Always the best of the best Krish Naik sir... We r happy n lucky to get u .. statistics session was awesome... I made a note from Day 1 to 7.
care to share the notes?
@@keenchkaat1543 😂🤣how to share bro as there is no attachment here
@@beingrishi6450 Copy it to google doc and make it public and share the link.
@@keenchkaat1543 actually I'm making note in my copy... If i have made it on Google note or sheet I would have been given the link . Later on I'll give it by making
@@beingrishi6450 understood, dont worry about it :)
Krish you are truly a gem in explaining a very complex topic in simple manner. Take a bow to your explanation.
This is the no1 you tube channel for datascience
Naive bayes-such an explanation thanx sir....
You are the selfless contributor to commuinity.. We Respect your Hard Work & Dedication.. 👍🏻
@video 1:50:23 I fell off my chair. Hahaha classy entertainment. I have learnt so much of ML and DS in less than 2 weeks, the content of yours has gone out on recommendations to every person I found remotely interested in this subject. Great work Krish. Kudos.
The 7 day live sessions are truly helpful for working professionals.
where can I get the materials used in this video because on website there is no such options
@@siddhantgaurav7053 did u find the notes ?
@@SwethaBN-qj8xn nhi Mila
in KNN what if both the numbers in red and white is same ? then how do we decide the category for the point ?
Indebted to you Sir Always. 🙏
thank you so much sir... Your teaching is best.. all concepts got cleared
Thank you Krish for consolidating and share such informative lectures on the machine learning algorithms.
Just watched this video, this man is awesome, the way it taught naive Bayes was amazing.
mind-blowing session, thank you so much sir for this content. it really helped me to gain knowledge in this domain.
Those who have doubt on negative mean square, here's the answer:
# neg_mean_squared_error is simple -1 * mean_squared_error. This is because a convention in the Scikit-learn api that all the scorers follow.
# All scorer objects follow the convention that higher return values are better than lower return values.
Thank you so much for this practicals, it really gave me a building blocks.
Thank you so much @Krish Sir for taking these session. Best TH-cam channel for DS.
Super ! Great work thank you very much
Hi Sir. Loved your content. Thank you for providing lot of information.
1:09:15 coding finishes.
where can I get the materials used in this video because on website there is no such options
Your lectures are really helpful! Thankyou soo much sir.
Zabardast Krish bhai….you energy 🤩
Thankyou so much sir.
It is best lacture of naive bayes.
Everything you tried to explain is very clear to us and now we are able to solve questions on it.
🤗🤗🤗🤗🤗🤗🤗
39:13 I think, Ridge is better (32
I think you are right. @Krish Naik sir can you please confirm
You are doing a great work sir .keep doing and please avoid negative comments by some stupid peoples
Awsome explanation of naive bayes
Thanks you sir for this class.
Thank you sir. Please do a deep learning live sessions also sir.
Beyond universities. My respect.
Great sessions sir! Please do live sessions for deep learning also sir..
where can I get the materials used in this video because on website there is no such options
Naive bayes starts from 01:09:00
Your the best DS teacher !!🔥
Baht achha explanation sir
Great session
Great stuff sir !!!
Great session 👌🏻👌🏻👌🏻👌🏻👌🏻👌🏻👌🏻👌🏻🙂🙂
great way of teaching sir
I liked this session and it is interesting, and getting more interest while listening to ur sessions. #op sessions by krish
thankyou so much......u r my andrew nj krish sir🤩
Great Explanation Sir
Really great course krish.. Can you share some stats and machine learning practice set.. Kindly share
thank you so much for this content sir
Thanks alot krish
FINISHED WATCHING
Great learning
Sir you are just awesome. your explaining towards maths and geometric understanding capabilities are just fantastic. keep doing this nobel task for those students who thought that education is free...
excellent!!!!
I want the materials/pdf/code file for the 7 Day live ML course which was held on YT Live. Please help me in this regard.
Thank Sir Krish
Sir can u please make how to calculate improved f-score with an example
GREAT SECTION SIR
Great tutorials sir👏👏, provide your notes link , it would be helpful to all
It was a good session.
first two sessions were were nice!!
Thank u sir🤗
I think there was some misunderstanding at 01:46:00
This session is amazing Krish sir want to join live projects of machine learning too please let me know when it is starting
How can I join the first 2 missed sessions
good sessions....
Sir @1:39:11 sec you are saying that probability of yes given sunny which will be 2/5 but you are writing answer value for probability of sunny given yes which is 2/9. In Naive Bayes we use Probability of Sunny given Yes which is 2/9. Kindly confirm sir
he made a mistake at first its actually prob(sunny/yes) like that.
Sir please upload the datasets which you have used in the practicals so that we can practice along with the video
sir please never stope teaching
Krish, also update this community session along with material in ineuron site.
thank you sir
I have a basi question for text classification of small sentence which approach should be used , embedding defnitiely wont help
maja hi aa gya gurujii
tank you sir krish
Best teacher in the world
Krish Sir. I am really the biggest fan of your from Pakistan and i really want your ineuron full stack data science course but i dont have enough money. please can you do something about it.
At 34:35 what is value of cv=..?
At 42:49, cv=5
4:24 Hi Krish Sir.
For just an advice, make an ML model on video translator to hindi with your own voice, instead of putting more time on making hindi tutorials.
mza aya
First of all thank you for this amazing playlist, here learning is fun.
I wanted to ask if I want to learn the code as well, what do you suggest? And why are we not doing the code here?
Amazing explanation sir. Where can I find the material which i can refer to in the future? The link isn't working anymore
Yes sir 3rd day live
@Krish What is the headphone model you're using??
material is not available on the given link.please guide
thank you
is there any online course live
Sir Today I cleared the iit madras entrance exam for data science . I also want tuition for learning data science. What i should do now
Join oneneuron
@@krishnaik06 sir can you suggest me which membership I should join ?
@@PRINCEKUMAR-vh4mx It has only one membership. 7080 Rupees.
@@vishnureddys4801 okay
Where can I get notes of this session,
They are not available on Mega Community Classes
Can anyone explain the need to normalise in naive Bayes
@Krish naik , sir i am not able to find the pdf in community session . Kindly help me in getting the pdf.
krish sir , in KNN what if both the numbers in red and white is same ? then how do we decide the category for the point ?
different libraries of linear regression works differently or same ?
the notebook is not available in the ineuron mega community, can you upload it ?
where can i learn about sklearn???
Can you provide the notebook of this session?
while opening community session its showing sql videos sir. Their no playlist related to machine learning.
where can i get this code
Assignment answer is
Yes, he will play tennis in Overcast/mild condition.
The derivation of bayes theorem is bit different actually!
hey krish where can we find the notes/slides for this ML sessions??
Krish where you provided jupyter notebook I'm unable to find it I checked in I nuron. I found nothing. Please provide notebook file
krish bhaiya I really dont like when you give bhav to these nuisance kinda people.. I m loving these lessons ... Dont focus on these idiots... these lessons are so interesting... I th just want keep on learning and keep going
can anyone provide notes of these live sessions.....
Hi, the pdf link in the description is not working. Could you provide the pdf download in some other way ?
❤️❤️
Please share the notes pdf link. The notes/ineuron course link in the description is not helpful to find notes.
sir how can i access the notes. the link you provided gets error while opening