most of the lectures from other creators are just translation from English books to Hindi, but YOU truly have in-depth knowledge and to top it off you are such a great teacher, it reveals how much you might have grinded to reach this expertise in DS and ML. YOU ARE MAKING AN IMPACT ON SO MANY STUDENTS LIVES!!!! Thank you so much
Life is also based on linear regression algorithm. Where you have to find a correct mentor(gradient descent) who can help reducing the distractions(errors) in your life with continuous guidance(iterations) and a perfect balance of knowledge (learning rate).
Hi sir, I have no words to thank you for this amazing explanation, I'm feeling confident that I can learn ML algorithm after watching this video, Can't thank you enough sir
No. 1 explaination as always. This is called as coaching. I really don't know every time what to say & how to thank you! Though thanku very much again for the session .
Have gone through some of your videos pertaining to various ML topics. Following are my inputs: a) Admired your methodology of explaining various ML topics in a simplistic & lucid manner accompanied with Real-time Examples b) Inculcating Blackboard methodology of teaching various topics. c) Patience factor with a cool mind while explaining various topics which can help while grasping some of the complex ML topics. Very much Appreciated!!! Bahut Bahut Shukriya!!! 👍😊🙏 Furthermore it would be Appreciated, if you can take time to explain Time-Series Forecasting, SEM (Structural Equation Modelling), Monte-Carlo & A/B Testing. Thanks in Advance!!!
You are different than other thats makes unique and best. Keep it bro. We need more practical conceptionual understanding of all algos. We dont understand heavy math and the answer of WHY ??? You are the one who answered the WHY ? THANKS LOT , God bless you 😇😇😇
awamzinly simplified !!! awesome !! Thanksa lot for this wonderful series of 100 days .. I am a regular follower of your videos please keep posted new such wonderful learnable videos
I am from digital marketing background and working with google ads..i got recently inclined towards data science and planning to build my carrier in the same direction i watched many youtubers who are teaching data science and stuff but i can say one thing you are one of the best.. Also i need to understand do you see a scope of digital marketing and data science together??
i have already learned lot of algorithms but i forgot, here again to learn again do i need to go this detail and deep understanding but many people say its not needed .But will this make it worth it for future datascience learning??
Hello sir, You are too good. I have one simple question I want to learn more about dimensionality reduction techniques. From where I can learn them. It would be good for me if you can share any webpage, video, or book anything.
If you're referring to the "Random state" of Train test split then it is just telling the train_test_split to pick different data points for train & tests so that whenever you run that code again it picks the same data points as it does previously in first run. If it is 42 then the data points picked for train & test will be different to each other but whenever you run the code again even in a different project it will pick the same data points for train and tests
most of the lectures from other creators are just translation from English books to Hindi, but YOU truly have in-depth knowledge and to top it off you are such a great teacher, it reveals how much you might have grinded to reach this expertise in DS and ML.
YOU ARE MAKING AN IMPACT ON SO MANY STUDENTS LIVES!!!!
Thank you so much
I m out of words. Plz. excuse me tii i'll found new words to praise.❤❤ always for this channel. Thanku so much sir...🙏🙏
Bhai bhavnao me beh gya 😅😅😅
Even college professors dont teach so intuitively as you do. Thanks for sharing such un-conventional knowledge in a simple way
Sir app nahi hote toh hum machine learning nahi sikh paate , love you sir 🙇🙇
What a beautiful way of explaining things, no rush, everything from basic, wow! Thanks a lot for this sir!
Your teaching is unbelievable man. Literally this playlist is a gem.💎
most underrated channel with such a good knowledge ........ huge respect for you sir
This channel is literally gold.
15:05-->16:36 What is linear regression?
28:45-->33:05 What is the intuition behind it?
Life is also based on linear regression algorithm.
Where you have to find a correct mentor(gradient descent) who can help reducing the distractions(errors) in your life with continuous guidance(iterations) and a perfect balance of knowledge (learning rate).
This is excellent explanation, clearly taught the concept using theory and code with practical example. Thanks alot for knowledge sir.
Woooow.... No words to say.... I watched to many videos but this one is great..... Really great help for beginners.....
Hi sir, I have no words to thank you for this amazing explanation, I'm feeling confident that I can learn ML algorithm after watching this video, Can't thank you enough sir
That intuition at last was too good 💯 .
Finally found a teacher intuitively...Not just for the sake of it.
Waah.. Apka teaching bahoot mast hai... simple and best.. matlab saaaaab samjh ajata hai .. you make difficult topics to understand clear and easy
You know the nerves as well as requirement of people. Very nice way of explaing. Good job!
Thanks Sir Ji, Lectures are really helpful.😀
Sir kya teaching h aapki interest create kar dete h seriously ❤❤❤❤ 🫡 sir
Best Mentor ever. God bless you.
No. 1 explaination as always. This is called as coaching. I really don't know every time what to say & how to thank you! Though thanku very much again for the session .
Have gone through some of your videos pertaining to various ML topics. Following are my inputs:
a) Admired your methodology of explaining various ML topics in a simplistic & lucid manner accompanied with Real-time Examples
b) Inculcating Blackboard methodology of teaching various topics.
c) Patience factor with a cool mind while explaining various topics which can help while grasping some of the complex ML topics.
Very much Appreciated!!! Bahut Bahut Shukriya!!! 👍😊🙏
Furthermore it would be Appreciated, if you can take time to explain Time-Series Forecasting, SEM (Structural Equation Modelling), Monte-Carlo & A/B Testing. Thanks in Advance!!!
Great Explanation Sir.. Thank You..
👍👍
aap to machine learning ke magician ho 😢❤❤❤❤ superb explanation sir 🎉
Best teacher on You tube for Data science Aspirants 🤩🥰
Sir the explanation is extremely excellent
this was the best lr video i came across so far. loved ur teaching
Best teacher for machine learning
Teaching style is outstanding👌❤💥
Sir thank you for best teaching.
Simplest way of teaching. Thanks
Your teachings are seriously gem .
very easy to understand. Thank you Sir.
Bhai you are simply fabulous. I came here for the first time and was blown away by the explanation. you USP go desi , concepts just baith jata hai
Awesome sir😇.
Thank you so much.
bhaiii crazzzyyyy pasha rahe hoooo !!!
Best explanation ever👍
finally understood the meaning of Y = mx + b
Sir your way of teaching is very better means very easy to understand👍👍Thank you so much sir🙏🙏
Nice insights on this topic….🎉
thanks sir .. very helpful video ,,, not only this .. all your videos are awesome ...
Thankyou so much for the session. It was explained so simply.
Superb se bhi upper wala explanation h sir thank you so much for this playlist... it's like gold for beginners 😊.
I luv your teaching style, hope to see more videos..
Thank You Sir.
Great content great explaination great teacher 🙏
#50 congratulations sir u r rocking in your teaching 🔥🔥🔥🔥 I like the way u teach I would like to thankyou from my bottom of the heart
You are different than other thats makes unique and best.
Keep it bro. We need more practical conceptionual understanding of all algos.
We dont understand heavy math and the answer of WHY ???
You are the one who answered the WHY ?
THANKS LOT , God bless you 😇😇😇
Wow sir much much love keep going ❤❤❤❤❤❤❤❤❤❤❤❤❤❤
i am big fan of you sir ....amazing sir
Thank you so much sir 🙏🙏🙏
you are amazing bro ,your channel is going to boom,amazing explanation
awamzinly simplified !!! awesome !! Thanksa lot for this wonderful series of 100 days .. I am a regular follower of your videos please keep posted new such wonderful learnable videos
God of data science ❤❤
Sir, can we use this algorithm for reusability purpose?
I am from digital marketing background and working with google ads..i got recently inclined towards data science and planning to build my carrier in the same direction i watched many youtubers who are teaching data science and stuff but i can say one thing you are one of the best.. Also i need to understand do you see a scope of digital marketing and data science together??
code first is great teaching practice
i felt this concept very easy after learning PCA....hahahahahha,.....thanks sir
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@@campusx-official hahahhhahah funny sir ....sir thanks again for teaching us
i have already learned lot of algorithms but i forgot, here again to learn again do i need to go this detail and deep understanding but many people say its not needed .But will this make it worth it for future datascience learning??
nicely explained sir but please do video on svm algorithm also
Great sir
Amazing sir
Sir one doubt do we have to drop y(target variable) from test_X because we are predicting it otherwise what is difference between train_x and test_x
Thanks for the explanation sir
Thank you sir
Thank you for this video
Thank a lot vedios helped a lot ❤️
Excellent
Wonderful video
what does random_state=2 represent in the code?
hello Sir can we add two algorithms supervised and unsupervised algorithms
plzz Sir reply me, Sir, i have work in machine learning
Hello sir, You are too good. I have one simple question I want to learn more about dimensionality reduction techniques. From where I can learn them. It would be good for me if you can share any webpage, video, or book anything.
wonderful explanation
where can i get that training data set
I'm from Mech but ur explanation is too good I got the concept
I did not able to find placement csv file anyone can give link to download placement csv file
🙏
Hi Sir, I am doing Mtech in AI and Machine learning, I want to know where can I find questions to prepare for my Mtech related to machine learning.
explanation was top
sir @CampusX why scaling is not done in the code?
Exceptional package :- Sharma ji ka londa 👦🏻😎
Please explain timeseries too .
can somebody please explain that how these dataset can be loaded fastly bcoz it's still running in jupyter?
just want to say thankyou
Thankyou So much Sir
Just Perfect
very good lecture
G.O.A.T 🐐
why cgpa in x axis ? . why not cgpa in y axis ? is there any thinking process behind this.
Cgpa is input and package is the output here , y axis always represents output. y=mx+b , here x input, y output.
best video, thx a lot....
How value of m decided
Random state means sir??
If you're referring to the "Random state" of Train test split then it is just telling the train_test_split to pick different data points for train & tests so that whenever you run that code again it picks the same data points as it does previously in first run. If it is 42 then the data points picked for train & test will be different to each other but whenever you run the code again even in a different project it will pick the same data points for train and tests
amazing sir
Thank you
FINISHED WATCHING
y=mx+c hota hain line ka equation
Just ❤
awesome
THE ONLY CHANNEL I WATCH ADDS COMPLETELY 🫡
I can not get that regression line on my plot. I copied your code from GitHub but still it won't show the line.
try this line of code. It will work
plt.plot(x_train.values,lr.predict(x_train),color='red')
bring convolutional nural network tutorial please
ruclips.net/video/96JuiE7Medw/видео.html