THANKYOUUUUUU THANKYOUUUUUUUUUUUUUUUU SIR YOU CLEARED MY CONFUSION ABOUT HOW TO DEPLOY

literally bta rha bhaiya mai, hmare professor aapke lecture dekh ke hi aate the, exact same explanation, same examples... XD

Finally I find best video for deep learning. ❤️ ab me aur search ni krunga. bhut search kr liye deep learning. Now I will start this playlist. 😅

Thank you

Sir is it complete playlist for deep learning

Why my accuracy is coming to be 1.0 even I have written the same code

from where we can find the notes of the above lectures?

sir in the movie recommendation system. the similarity.pkl file is more than 100 mb how to push this file on repo in order to get the web app deployed. i heard of git lfs but to to push just the similarity.pkl in that lfs servers and rest file on github server.i don't know the commans for lfs

Really helpful video!!

Sir please share that code file

df = df.append(pd.DataFrame({'Age':[5,90,95],'EstimatedSalary':[1000,250000,350000],'Purchased':[0,1,1]}),ignore_index=True) this code is not working show error: AttributeError: 'DataFrame' object has no attribute 'append'. Please help

out standing explanation..hats off @campusX

waiting for more lectures

@CampusX This playground way of learning neural networks and it's working is phenomenal. Thank you for this innovative approach.

Please LLM or generative focas karna jaldi khatam karna because hama job opping ke phele Hame sab ready ho ..

Thank you so much sir 🙏🙏🙏

Your video was very useful and amazing

its 2024 and im working as MLOps ... planing to be a Data Scientist and have some research background :)

You will make any topic easier Sir !!!!You are magical. Thanks for the wonderful session.God bless you !!!!!!!!!!!

16 nov 2024

Sir work nahi kar raha hai

Sir when are you going to launch Data Analytics Course. Eagerly waiting for it.

correct me if im wrong , 31:45 z should be z = sigma(O) ,not like sigma(z) = O

i couldnt find the code u wrote on colab in git hub

Keep going ❤🎉

waiting for the next vid... thanks sir

Love the intro sir,just a general question what will be the average time gap between the upcoming videos?

I must tell you that you have made this video very precise and to the point. Your way of teaching is also simple and informative. You go by all the facts and correctness. Keep bringing further videos. I will be following your upcoming videos, which you said will be continuing for 8 months. Looking forward to more videos. Thank you very much..!

When will be the next lecture??

Best of the best playlist in entire world amazing the things which was not cleared in 3 months you just clear concepts in just 30 minutes great explanation thank you so much sir

Sir please aik bar transformers architecture ko code mai dikha den plz i am very much confused in coding part.

Thank you sir, for this excellent lecture

Sir, I think it should be (Y-WX) because e= (Y-Y^) not( Y^ -Y​).

Sir ji MLops playlist continue and complete kyun nhi kar rhe..its very much required.

very very nicely explained. as i always feel and tell everyone for one stop channel for data science this is the best channel as content is real quality and the way Nitish you explains makes it really easy for a beginner to understand the complex topics also. Thank you so much

Nice teacher

BEST VIDEO ON THE WHOLE INTERNET!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!1

iit me hu fir bhi sir ke videos dekhta hu concept smjhne ke liye ....baki ap smjhdar ho

Generally don't comment but this is the most crisp and clear OOP explanation for Python available. Really helpful for LLD prep and how to explain your LLD logic to a Java Dev if you are writing code in Python.

sir we can use GPU and TPU as well in Kaggle

So happy to see this. I'm super excited for this Playlist. This is exactly what I needed and been looking for.... By the way, what are pre requisites of this Playlist?

An in-depth Deep Learning roadmap on KZbin. Thank you, Sir Nitish Singh. *I have a question: At what level we should learn, If we are at the beginner level of DL/ML, have 3 years of MERN development experience, and have a plan to do PhD in the future.*

Thank you, sir. InshAllah, I am confident that I will achieve success with the help of this playlist. Your continued motivation and support mean a lot to us.

matchless!

Claps for those who have sincerely watched till end & understood all concepts clearly!! It was really challenging & bit difficult session but well explained

hi sir, When you will be completing the series of Mlops

This channel is pure antimatter👏

Nitish Sir! You are billion times better then my university professors love you sir from Pakistan❣

Best teacher ever ❤