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).
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 😇😇😇
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 .
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??
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
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
![[UA] NAVI проти G2 Esports | Blast Premier Fall Final](http://i.ytimg.com/vi/QWlIm4FGESQ/mqdefault.jpg)
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 😅😅😅
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.💎
This channel is literally gold.
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 🙇🙇
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).
Superb se bhi upper wala explanation h sir thank you so much for this playlist... it's like gold for beginners 😊.
Finally found a teacher intuitively...Not just for the sake of it.
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!!!
Your teachings are seriously gem .
Sir kya teaching h aapki interest create kar dete h seriously ❤❤❤❤ 🫡 sir
Best Mentor ever. God bless you.
You know the nerves as well as requirement of people. Very nice way of explaing. Good job!
Sir the explanation is extremely excellent
Woooow.... No words to say.... I watched to many videos but this one is great..... Really great help for beginners.....
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 😇😇😇
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 .
Waah.. Apka teaching bahoot mast hai... simple and best.. matlab saaaaab samjh ajata hai .. you make difficult topics to understand clear and easy
This is excellent explanation, clearly taught the concept using theory and code with practical example. Thanks alot for knowledge sir.
Best teacher for machine learning
Best teacher on You tube for Data science Aspirants 🤩🥰
#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
Sir thank you for best teaching.
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
aap to machine learning ke magician ho 😢❤❤❤❤ superb explanation sir 🎉
Thanks Sir Ji, Lectures are really helpful.😀
Nice insights on this topic….🎉
Best explanation ever👍
Sir your way of teaching is very better means very easy to understand👍👍Thank you so much sir🙏🙏
Thank you sir
Awesome sir😇.
Thank you so much.
Thank You Sir.
this was the best lr video i came across so far. loved ur teaching
Simplest way of teaching. Thanks
Great sir
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??
very easy to understand. Thank you Sir.
Teaching style is outstanding👌❤💥
15:05-->16:36 What is linear regression?
28:45-->33:05 What is the intuition behind it?
bhaiii crazzzyyyy pasha rahe hoooo !!!
Thank you so much sir 🙏🙏🙏
God of data science ❤❤
Thankyou so much for the session. It was explained so simply.
thanks sir .. very helpful video ,,, not only this .. all your videos are awesome ...
Great content great explaination great teacher 🙏
code first is great teaching practice
I luv your teaching style, hope to see more videos..
i am big fan of you sir ....amazing sir
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??
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
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
you are amazing bro ,your channel is going to boom,amazing explanation
just want to say thankyou
Wow sir much much love keep going ❤❤❤❤❤❤❤❤❤❤❤❤❤❤
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
FINISHED WATCHING
wonderful explanation
Thank you for this video
y=mx+c hota hain line ka equation
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.
nicely explained sir but please do video on svm algorithm also
Thanks for the explanation sir
Just Perfect
Thankyou So much Sir
Wonderful video
Sir, can we use this algorithm for reusability purpose?
explanation was top
Thank you
I'm from Mech but ur explanation is too good I got the concept
Exceptional package :- Sharma ji ka londa 👦🏻😎
very good lecture
Thank a lot vedios helped a lot ❤️
best video, thx a lot....
Please explain timeseries too .
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.
G.O.A.T 🐐
awesome
I did not able to find placement csv file anyone can give link to download placement csv file
🙏
hello Sir can we add two algorithms supervised and unsupervised algorithms
plzz Sir reply me, Sir, i have work in machine learning
How value of m decided
can somebody please explain that how these dataset can be loaded fastly bcoz it's still running in jupyter?
amazing sir
what does random_state=2 represent in the code?
👍🏻👍🏻👏👏👏
where can i get that training data set
sir @CampusX why scaling is not done in the code?
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.
THE ONLY CHANNEL I WATCH ADDS COMPLETELY 🫡
Great
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
bring convolutional nural network tutorial please
ua-cam.com/video/96JuiE7Medw/v-deo.html
done
I didn't get the coding of the simple linear regression i don't know if covered the topic before I just jumped here.
plzz reply if you covered plzz i m in need hoping for a useful and positive reply great video.
Linear Regression - Updated 2022: ua-cam.com/play/PLKnIA16_Rmva-wY_HBh1gTH32ocu2SoTr.html
💕
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')
where is the data?
You can take similar type of data from chatgpt.👍
Bhai.. Pardon my language, but you are FAADU :)