If you found this video helpful, then hit the *_like_* button👍, and don't forget to *_subscribe_* ▶ to my channel as I upload a new Machine Learning Tutorial every week.
OMGG!! The difference when we like what we teach vs when we don't like what we teach or learn is Stark clear as your teaching is soo amazing and crystal clear -cut when compared to the other videos and the lecture from my university!! Thank YOUUU!
bro koti koti guna dhanyawaad for making such topics in so simple explanation ,minne teacher just stated these but i didnt get his single words but yours i am completely understanding thanks man
@@architapandey04 I'm not that much knowledgeable in the subject matter but from my experience, almost all my friends doing ML and Data Engineering are using Python. Very few use MATLAB
thank you for your explanations, Can I implement dogs&cats datasets from scratch, because I want to practice these algorithms on different datasets. Again, thank you!
If you found this video helpful, then hit the *_like_* button👍, and don't forget to *_subscribe_* ▶ to my channel as I upload a new Machine Learning Tutorial every week.
can i get your presentation
OMGG!! The difference when we like what we teach vs when we don't like what we teach or learn is Stark clear as your teaching is soo amazing and crystal clear -cut when compared to the other videos and the lecture from my university!!
Thank YOUUU!
For the first time in my life, I am commenting because the video was so awesome I understood every single bit of it.
Thank you bro
bro koti koti guna dhanyawaad for making such topics in so simple explanation ,minne teacher just stated these but i didnt get his single words but yours i am completely understanding thanks man
Haha, glad it was helpful! Keep up the learning, cheers!
I took Andrew's course too but I feel your explanations are better!
One of the simplest ways the explanation for neural network has been presented in this video.. excellent!
Thanks a lot for This Amazing Introductory Lecture 🙂
Lecture - 1 Completed from This Neural Network Playlist
That's great! Glad I could help! Thank you!!
holy shit why is this guy so under rated. Literally the best explanations!!
Hi, thanks for the compliment! I appreciate it! :)
explanation of the concept was so good! the concept became easy to understand! Thanks for this video!
Thanks man just because of you I've got this concept crystal clear.
Happy to help 😇
bro can you plese tell, what resources do you follow for learning and such indepth understanding of this concepts?
Made the concept easy-peasy ;)
Thanks 😎
Bro please make playlist for ridge regression, SVM, random forest , decision tree
Thank You so much for your suggestion . I will make videos on it soon !
Simple and efficient explanation
Thank You 😇!
Best explanation ever......💯
Thank youuuuu, on my way to become an ML engineer Inshallah 💪
Heyy... I'm doin AIML engineering.. Is python with dsa is better?
@@architapandey04 I'm not that much knowledgeable in the subject matter but from my experience, almost all my friends doing ML and Data Engineering are using Python. Very few use MATLAB
In time: 3:14 I think the number of input layer is 8*3=32 input not that 2352. thank for your effort dear...
8*3 does not equal 32
very useful. Thank you so much sir
You're welcome
thank you for your explanations,
Can I implement dogs&cats datasets from scratch, because I want to practice these algorithms on different datasets.
Again, thank you!
Amazing and super helpful.
Thanks for the tutorial
Thank You so much Malik !
Bro, make a playlist for naive bayes classifier
Thank you very much for the suggestion Mahim. I will make videos on it. Just that, it might take some time.
thank you very much
AMAZING BROTHER THANK U SO MUCH
You’re welcome!
Excellent explanation
Thank you so much!
16/11/2022 from TR let's get started fam
thanks man🙇♀
Super
Thank You so much !
Great! Keep it up
Thank you!
till now the best
Everything is nice except the fake accent. Please don't, it just disrupts the focus on explanation and draws it towards the unnecessary accent.
Hi thanks for the feedback... in future videos you will will find more natural tone.