Although he is a playing a role of a teacher he is requesting us... to pick a pen and paper to practice to make sure that we understand how it works. It shows how obedient he is towards others.... God Gifted teacher
i have never seen such a great teacher for ML and DL on yt or in my college the way nitish sir explains is so easy to understand and it helps grasp the basics very well. Thank you so much sir for such great efforts this channel needs so much recognition and it will reach it i definitely believe that. I HAVE ALREADY SUGGESTED THIS CHANNEL TO SO MANY OF MY OTHER PEERS WHO ARE LEANRING ML AND DL
Sir You actually know how human brain works, thats why you are teaching how NN works and then teaching the Backpropagation, so that we can connect the backpropagation with the neural network. Great Sir. Your teaching style is great.
really appreciate how you are sharing your knowledge for free, i have paid almost 2L in IIT Delhi for this course and really not enjoying their sessions. But your sessions are addiction, i have started feeling confident by each passing day.
bht zayada dar tha k neural network pta nhi kya bala hai lakin sir ap k teaching method sy aisy laga k ye sab kuch nhi ap ka lecture 5 second b skip nhi kr skaty har point pr kuch na kuch learning k leye hai love u sir from Pakistan
Excellent video with clear explanation. One of my favorite channels on ML. Sir, could you please also venture into federated learning in conjunction with ML/DL. That would be much appreciated. Again thank you for your great videos.
Thank you so much sir i really try to understand this keras topic maine bahut jagah dekha but samjh nahi aya maine chatgpt se bhi samajhane ko kaha uska bhi samjh nahi aya but you are grate sir ❤
Your videos is really informative and easy to understand. And i have been following your playlists. In this video i found something that is not clear to me and i also tried to check twice more. My problem is while one hot encoding command used is "pd.get_dummies(df,columns=['Geography','Gender'],drop_first=True)" and just below used "df.head()" i found out is that 2 columns are missing that are "Geography_France" and "Gender_Female". Are these mistakenly missing or you intentionaly did it. Please reply Thank again for your video s Sir.
I also thought that he missed the those columns. But it might have been done to reduce the time complexity of the model. BTW I am also not sure why he did that.
Sir ye kaise maloom hoga ki kitne hidden layer add kerne hain aur each layer mein kitne node honge, is hyperparameter ko tune kerna ka koi code hai kya ?
import tensorflow from tensorflow import keras from tensorflow.keras import Sequential from tensorflow.keras.layers import Dense model = Sequential() model.add(Dense(3, activation='sigmoid', input_dim=11)) model.add(Dense(1, activation='sigmoid')) model.summary()
Although he is a playing a role of a teacher he is requesting us... to pick a pen and paper to practice to make sure that we understand how it works. It shows how obedient he is towards others.... God Gifted teacher
Yesssss.....he is great and much passionate.
He is 🐐
How can anyone be so good at teaching. have got addicted to this channel.
It is a sign of a great teacher if he/she can explain difficult concepts in simple words. Nitish fits into the category easily !!!
Genuinely, you are among the best educators available for ML/DL.
bhaiya app best ho!!! aap jaisa koi nahi.... thank you hum logo ke liye itni mehnat karne ke liye.... dil se thank you!!!! : )
We can't thank you enough🙌 your voice is so soothing.
This was an easy and amazing video. You have given us very deep knowledge. Thank you so much. Keep going... 👏👏👏👏👏👏👏👏
Bhaiya please continue this course!!
This is one of the best DL courses
I want a million more subscribers for your channel, such a great teacher.
thank you bhai i have been watching your videos .... got the job finally u were a big help..thanks!!!
i have never seen such a great teacher for ML and DL on yt or in my college the way nitish sir explains is so easy to understand and it helps grasp the basics very well. Thank you so much sir for such great efforts this channel needs so much recognition and it will reach it i definitely believe that.
I HAVE ALREADY SUGGESTED THIS CHANNEL TO SO MANY OF MY OTHER PEERS WHO ARE LEANRING ML AND DL
Sir You actually know how human brain works, thats why you are teaching how NN works and then teaching the Backpropagation, so that we can connect the backpropagation with the neural network. Great Sir. Your teaching style is great.
really appreciate how you are sharing your knowledge for free, i have paid almost 2L in IIT Delhi for this course and really not enjoying their sessions. But your sessions are addiction, i have started feeling confident by each passing day.
bht zayada dar tha k neural network pta nhi kya bala hai lakin sir ap k teaching method sy aisy laga k ye sab kuch nhi ap ka lecture 5 second b skip nhi kr skaty har point pr kuch na kuch learning k leye hai love u sir from Pakistan
One of the best teacher I have ever seen . With clear concepts and simple explanation skills❤❤❤ love from pakistan 🇵🇰🇵🇰🇵🇰
Where are you from Pakistan?
The best explanation i got in my 12 months learning
Very Informational and way of explanation is amazing sir...thank you
Very clear and simple explanation, which any beginner will easily understand. Awesome lectures. Please keep uploading the further contents.
The explanation is so good. I watched a lot of videos for ANN but your playlist is truely a gem. Please keep uploading more videos sir!
You have Style to explain ML concept in a very easy manner
Thank You
Excellent video with clear explanation. One of my favorite channels on ML.
Sir, could you please also venture into federated learning in conjunction with ML/DL. That would be much appreciated.
Again thank you for your great videos.
Bhaisaab... Yakeen nhi hota... Boring se boring topic ko bhi ye banda itna interesting trah se padha skta h.. Can't believe 🙏🙏
dil se thank you bhai jii for making these simpler videos
Best Video about ANN . Concept clearning video . Thank you sir for this
This video actually helped a lot put things in perspective.
You have really a best/great teaching skills.. hat's off sir..
Thank you so much sir i really try to understand this keras topic maine bahut jagah dekha but samjh nahi aya maine chatgpt se bhi samajhane ko kaha uska bhi samjh nahi aya but you are grate sir ❤
Best explanation !! you make ML DL so easy for us.
This one video was enough to motivate me to keep learning Deep.
learning way is too good pls upload more projects ML and DL
Thanks for this great and simple explanation!!
you maded it, super easy, thanks!
Sir Mai 2 din baad apse milne aa raha hu.. Kolkata CampusX Sector 5 head office me.
Mind blowing sir
Great efforts. Thank you for each video !!
best channel for Ai
Link to the notebook:
www.kaggle.com/campusx/notebook8ad570467f
We preprocessed the X_train test as
X_train_trf=scaler.fit_transfrom(X_train)
so while passing to the model we shoulf pass X_train_trf ,right??
mindblowing explanation sir jee
I love your way of teaching 😊😊
Informative and clear content. Thank you sir.
amazing content
Thanks for the video
Please make video on feature selection techniques,imbalanced dataset and post in ML playlist
thank you so much sir ,your work is highly appreciated
nice video.
hatsoff sir.....
😌
Nitish and his channel #CampusX is going to be next big thing on UA-cam soon...
bhot badhiya padhaya hai bhaiya😇
Mza a gya hindi Me ml, DL sikhke
❤️❤️❤️😋🏓 Sir really you are Amazing.
love you Sir from pak
Best practical lecture, very simple and clear. Thanks
model = Sequential()
model.add(Embedding(10000,2,input_length=50))
model.add(SimpleRNN(32,return_sequences=False))
model.add(Dense(1,activation='sigmoid'))
model.summary()
i can't resist myself to comment
Hi Sir! at 16:43 first you said it is input layer after that you said it is a hidden layer. I am confused. Someone please explain.
we are providing 11 inputs to the hidden layer 1 which contains 3 neurons.
informative
Your videos is really informative and easy to understand. And i have been following your playlists. In this video i found something that is not clear to me and i also tried to check twice more. My problem is while one hot encoding command used is "pd.get_dummies(df,columns=['Geography','Gender'],drop_first=True)" and just below used "df.head()" i found out is that 2 columns are missing that are "Geography_France" and "Gender_Female". Are these mistakenly missing or you intentionaly did it. Please reply Thank again for your video s Sir.
I also thought that he missed the those columns. But it might have been done to reduce the time complexity of the model. BTW I am also not sure why he did that.
Failed to convert a NumPy array to a Tensor (Unsupported object type int). Did you get this error in the code?
outstanding, very easy. I salut
Wah!
sir please start full ml,dl course (live class)
Great video
excellent video
How to find the right number of hidden layer with nodes?
Bahut maja aaya
enjoying the great content
Thankyou!
Bhai ❤
Sir ye kaise maloom hoga ki kitne hidden layer add kerne hain aur each layer mein kitne node honge, is hyperparameter ko tune kerna ka koi code hai kya ?
Video daalenge next
I have one doubt, Is scaling ordinal values beneficial??
Clear explanation
A little bit understandable
Nice explanation.
Amazing again.
Failed to convert a NumPy array to a Tensor (Unsupported object type int). Anyone getting this error in the code?
# Convert X_train and y_train to np.float32
X_train = np.asarray(X_train).astype(np.float32)
y_train = np.asarray(y_train).astype(np.float32)
x_test = np.asarray(x_test).astype(np.float32)
Try to convert the values to np.float32 , try this.
best explanation
Kudos bhaiyya
for me, both the architectures gave 79% accuracy only, there is no improvement in the accuracy for the second architecture
You are really great
Great video 🙏
love it 😍 🥰
wow
Perfect sekhate hi..essa lagta every thing is so easy
😊😊
Very Nice
finished watching
Thank you sir
@25:30 sir hidden layer 1 hi h ye coding me kha show ho rha h???
Superb
Perfect
WoW! 👍
best
🙏
can i run same code on matlab
finished coding
Your model is predicting always 0 , which is wrong, accuracy is 80 plus because more than 80 Percent target values are 0
He already told in the video about imbalance of Data. In real world problem, Balance your data before training of model 😊
import tensorflow
from tensorflow import keras
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense
model = Sequential()
model.add(Dense(3, activation='sigmoid', input_dim=11))
model.add(Dense(1, activation='sigmoid'))
model.summary()
nice