Live Day 3- Discussing KNN And Naive Baye's Machine Learning Algorithms
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- čas přidán 12. 09. 2024
- Join the community session ineuron.ai/cou... . Here All the materials will be uploaded.
Playlist: • Live Day 1- Introducti...
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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 👍
++
Krish Sir all your sessions on Data Science are great consisting of a lot of learnings. Thank You So Much ..!! 😊
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 you are truly a gem in explaining a very complex topic in simple manner. Take a bow to your explanation.
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..
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 :)
This is the no1 you tube channel for datascience
@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 ?
your tutorials and materials are always the best. I'm lucky to know you
Thank you Krish for consolidating and share such informative lectures on the machine learning algorithms.
You are the selfless contributor to commuinity.. We Respect your Hard Work & Dedication.. 👍🏻
Just watched this video, this man is awesome, the way it taught naive Bayes was amazing.
Indebted to you Sir Always. 🙏
Naive bayes-such an explanation thanx sir....
thank you so much sir... Your teaching is best.. all concepts got cleared
mind-blowing session, thank you so much sir for this content. it really helped me to gain knowledge in this domain.
You are doing a great work sir .keep doing and please avoid negative comments by some stupid peoples
Thank you sir. Please do a deep learning live sessions also sir.
Thank you so much @Krish Sir for taking these session. Best CZcams channel for DS.
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
How can I join the first 2 missed sessions
Great session 👌🏻👌🏻👌🏻👌🏻👌🏻👌🏻👌🏻👌🏻🙂🙂
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 @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
Thank you so much for this practicals, it really gave me a building blocks.
Your lectures are really helpful! Thankyou soo much sir.
Your the best DS teacher !!🔥
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.
Sir can u please make how to calculate improved f-score with an example
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
Beyond universities. My respect.
Super ! Great work thank you very much
Great session
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.
Really great course krish.. Can you share some stats and machine learning practice set.. Kindly share
It was a good session.
Zabardast Krish bhai….you energy 🤩
Krish, also update this community session along with material in ineuron site.
Awsome explanation of naive bayes
FINISHED WATCHING
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...
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?
I liked this session and it is interesting, and getting more interest while listening to ur sessions. #op sessions by krish
This session is amazing Krish sir want to join live projects of machine learning too please let me know when it is starting
Great stuff sir !!!
39:13 I think, Ridge is better (32
I think you are right. @Krish Naik sir can you please confirm
Thanks you sir for this class.
Baht achha explanation sir
great way of teaching sir
Sir please upload the datasets which you have used in the practicals so that we can practice along with the video
GREAT SECTION 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.
Naive bayes starts from 01:09:00
Great Explanation Sir
I have a basi question for text classification of small sentence which approach should be used , embedding defnitiely wont help
thankyou so much......u r my andrew nj krish sir🤩
sir please never stope teaching
material is not available on the given link.please guide
while opening community session its showing sql videos sir. Their no playlist related to machine learning.
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
Great learning
first two sessions were were nice!!
thank you so much for this content sir
Where can I get notes of this session,
They are not available on Mega Community Classes
The derivation of bayes theorem is bit different actually!
excellent!!!!
@Krish naik , sir i am not able to find the pdf in community session . Kindly help me in getting the pdf.
Thank Sir Krish
sir how can i access the notes. the link you provided gets error while opening
good sessions....
Best teacher in the world
Great tutorials sir👏👏, provide your notes link , it would be helpful to all
I think there was some misunderstanding at 01:46:00
the notebook is not available in the ineuron mega community, can you upload it ?
Sir please whenever you watch my comment upload the datasets
Please share the notes pdf link. The notes/ineuron course link in the description is not helpful to find notes.
Can anyone explain the need to normalise in naive Bayes
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 ?
Thank u sir🤗
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
thank you
is there any online course live
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
thank you sir
Krish where you provided jupyter notebook I'm unable to find it I checked in I nuron. I found nothing. Please provide notebook file
Hello Sir Your Classes are very useful for me. please help me how to access your materials
tank you sir krish
where can i get this code
hey krish where can we find the notes/slides for this ML sessions??
maja hi aa gya gurujii
Load_boston ki file ka datafram kaha per h😢
@Krish What is the headphone model you're using??
Yes sir 3rd day live
At 34:35 what is value of cv=..?
At 42:49, cv=5
Can you provide the notebook of this session?
different libraries of linear regression works differently or same ?
hello sir , sir I enroll but i did not found the material of the video
can anyone provide notes of these live sessions.....
where can i learn about sklearn???
Hi sir, I am unable to find the materials in the link given in the description.
Were you able to find it ?