YOU KNOW , THE BEST PART OF THIS CHANNEL AND SIR IS, Learing data science is fun, it s we can do, type, bhari ,bhari words not used and made it simple.
I am from non technician background but trust me your video is like making me feel that I am from technical person I understand each and every thing, ofcourse some word need google for understanding but that is ok
You prolly dont care but if you're bored like me atm then you can stream pretty much all the latest movies on instaflixxer. I've been streaming with my girlfriend during the lockdown xD
Salam Sir! I appreciate your effort! I was taking a Machine Learning course on Coursera and was unable to deep dive into some of the concepts. You have clarified them very well for us. Thank You! From Pakistan!
At 7:50, you are telling we will add two more FEATURE. But how could we add extra feature to a dataset? Whatever data provided by client we need to work on that data only, right? Please clarify.
Great👏, I have a question, jab ham square ya cube add krty hain to , hmen simple x1 , x2 .... add krny ki kia zrort hai? hamen to square ya cube mn cheye line to is main simple add krny ka kia kam hai? I know it's an add-on to Linear regression but bx1, bx2, bx3 (degree 1) ka kia kam hai is m?
sir the video always feel like incomplete without examples and it becomes difficult to grasp it without it. Please try to add atleast one example to your lectures
In case we have a dataset with more than 5 features, where we cannot plot the data points, how do we know if we need to use linear or polynomial regression?
sir to make it small its getting comlicated itna fast samjha rahe ho ke ek video mai pehle kya samjha rahe ho wo badme bhul ja raha hu itna fast krke faida nhi hai 5 minutes channel ka name so waisa he video banao sir ye itna fast fast kroge to ghanta kisi ko samjh aaega koi logic , u r creating a good learning videos but ye itna fast hai ke slow ma dekhna par raha hai kya zarorat hai itna chota chota video banane ka please make a good videos
yes exam is very close like 50 min ahead of now. and see i am here
Same here 🤣
Mine is 30 min
And 1 min loss due to comment 😂
🤣🤣
20 min😂
YOU KNOW , THE BEST PART OF THIS CHANNEL AND SIR IS, Learing data science is fun, it s we can do, type, bhari ,bhari words not used and made it simple.
I am from non technician background but trust me your video is like making me feel that I am from technical person
I understand each and every thing, ofcourse some word need google for understanding but that is ok
You prolly dont care but if you're bored like me atm then you can stream pretty much all the latest movies on instaflixxer. I've been streaming with my girlfriend during the lockdown xD
@Jack Brian Yup, been using Instaflixxer for years myself :)
Superb teaching skills,god bless yousir
Sir ji you are great teacher thanks for the helpful videos 👍🏻👍🏻🙏🏻🙏🏻
Sir, you cleared my all doubts in polynomial regression. Keep going sir I am with you..
question toh kraya ni , doubt solve hogye tere pehle he
there are many models out there..first use the training data set and then check which model should be applied
Salam Sir! I appreciate your effort! I was taking a Machine Learning course on Coursera and was unable to deep dive into some of the concepts. You have clarified them very well for us. Thank You!
From Pakistan!
👌👌👍🏻👍🏻 बहुत बढ़िया Sir 💐💐💐👏👏
U really rock man,no 1 can explain as simple as u do 👍
Thanks.. cleared on how polynomial regression with multiple variables can be applied
can you please make a video on solving numerical problem on polynomial regression.
Thank you sir please add more videos on 3rd unit of ML
0 degree polynomial means there is no dependency on variable. whatever the value of variable is, the target is same.. Isn't it ?
Thanks for your explanation!!!!. Cleared most of doubt in very simple way👍
Thank You .
At 7:50, you are telling we will add two more FEATURE.
But how could we add extra feature to a dataset?
Whatever data provided by client we need to work on that data only, right?
Please clarify.
Sir your videos are very helpful to us to understand the concepts...thank you sir
Superb sir the way u teach is excellent
Great👏, I have a question, jab ham square ya cube add krty hain to , hmen simple x1 , x2 .... add krny ki kia zrort hai? hamen to square ya cube mn cheye line to is main simple add krny ka kia kam hai?
I know it's an add-on to Linear regression but bx1, bx2, bx3 (degree 1) ka kia kam hai is m?
Sir multiple liner regression ke uper bi video bana do
Very Nice Explaining sir...
Thank u sir... plz make vdo on ridge, lasso n logistic regression ....
Excellent explanation ...... 5 likes from my side
Such an amazing series 🔥🔥. Hats off to you sir for such great explanation in such short videos
Thanks a lot Sir, your explanations are very easy to understand. Very Grateful for this
Thank you sir for your help
sir the video always feel like incomplete without examples and it becomes difficult to grasp it without it. Please try to add atleast one example to your lectures
Smoothing Splines concept please
Nice concept clearance but will be more IF you add the touch of some Coding buddy.....!
Please upload video on logistic regression
thank you sir
Thank u so much sir 👍👍👍👍👍
Really Great Videos Sir..
Thank you so much😊
Keep it up...
Very easy explanation 👌❤️
Sir please upload all code for machine learning playlist
Please as soon as possible
well explained sir..If you make the coding part also then it could be better..
example should also be taken explanation is gd thgh
Thank you so much sir 🙏🙏🙏🙏🙏
Gradient Descent Video banade bhai
sir,non linear regression and polynomial regression are same?
hi Sir there is a missing video of Logistic Regression
Sir plz make video on stochastic gradient algorithm
Great , supb....................
Sir I am m.tech student plz help me for thesis idea in machine learning
acha huta agr ap is ka numerical b dal dety subh mera paper h :(
bhai thanks yaar
In case we have a dataset with more than 5 features, where we cannot plot the data points, how do we know if we need to use linear or polynomial regression?
Use principle component analysis to reduce no. of features and then apply linear or polynomial regression accordingly.
how 39 came down to 5? i understand that it will be scale down but how the value decreased to 0 or 5??
sir please upload the videos on remaining topic of 3rd unit ..kal ML ka exam hai...
Dictionary learning and atom extraction
whether Fp is comes under sigma part or its outside the sigma part.
Hello sir where the videos of solving algorithm regarding from these aalll..
Regression and clustering and so on
Can't we use kernel trick and continue to use linear regression instead of using polynomial regression
EXCELLENT
How will we decide the value of alpha
kamal hain aap
sir kindly make a examples
Sir please upload the vedios of sparse pca and kernal pca
how to decided linear and non linear
how could we know that our dataset are in 2 degree polynomial relation ?
By plotting it and observing it :)
@@dhireshkumar5932 Kindly elaborate on how to plot our dataset to identify which degree polynomial it is
logistic regression nah hai apke passs? reply fast
Really thanks lot of. ..
Hello sir,
I have one question. How can I know data is linear or not?
Draw data on graphpaper .if it looklike straight line it s called linear else non linear
nice job bro
what will be Fp in terms of x.
❤❤
how we can create non linear regression for 3 variables ?
💙
Mera 3 ghante me paper hai😁.
Are Bhai coading Karke bhi bata do yrr
Janedo fail ho jatahu🙃
sir to make it small its getting comlicated itna fast samjha rahe ho ke ek video mai pehle kya samjha rahe ho wo badme bhul ja raha hu itna fast krke faida nhi hai 5 minutes channel ka name so waisa he video banao sir ye itna fast fast kroge to ghanta kisi ko samjh aaega koi logic , u r creating a good learning videos but ye itna fast hai ke slow ma dekhna par raha hai kya zarorat hai itna chota chota video banane ka
please make a good videos
Well kuchh khas samj nahi aaya ye... Fir bhi kuchh na aaye usase to bahetar hi he...
#overexcitedprofessor
Everything is fine just stop dancing 😄
No practical explanation 😞
Campusxxxxx
YOU SHOULD TALK LESS AND CUT THE CRAP.. your telling something again and again.
thank you sir
Plz make a video on logistic regression
❤
Thank you sir