Hello, great video. Can i use gpt 4o when using a free plan? in an app i am building, i am able to analyze text using gpt 3.5 turbo, but not when i use gpt-4o So basically this code works: try: response = client.chat.completions.create( model="gpt-3.5-turbo", response_format={"type": "json_object"}, # Enabling JSON mode messages=[ ... but this one deos not: try: response = client.chat.completions.create( model="gpt-4o", response_format={"type": "json_object"}, # Enabling JSON mode messages=[ ... Can you please share any tips? Thanks.

Keep uploading dude you are doing really great 👍

Bro will I get suitable to do a Machine Learning internship after watching all your Machine Learning and deep learning modules.

For me this guy is really awesome, you will know he is a well structured person

Ur course rate

Sir thanks allot for this wonderful package, really following it. Please can you help compile your deep learning course like the way you did for this machine learning. It will really be a help for people like us from Africa

Can't we deploy this model on any other platform as I am using azure student free account and instance standard_nc4as_T4_V3 is not available in my subscription

sir, how can i evaluate the accuracy of the model?

Nice

Hello sir you and your all team are doing great work for our community,but I have a humble request please make video on maths learning topics which are important to become AI and ml engineer with proper guidance and free learning resources and full roadmap of learning mathematics please sir ! 🙏🙏 But thanks for your hardwork😊.

Great video. Also a video about implementing this in code would be fantastic.

While I'm uploading the image it shows error of of request failed status code 403

great video dude

Where is the schedule of DL course

Can you share your colab notebook here? It would be helpful for us.

I'm wondering why this channel is not getting lot of views

Sir plz provide course code humble request

no way to make it work. words are all glued together after the stemming function and no way for find what is happening? Have to give up the project

Thanks

You explain so well.... Thanks a lot

super

i get an error that KNN_classifier() takes no arguments.pls help

Hello sir I've one doubt Recently i learned about CNN implementation, i know all about the working of each layers and i performed all the image preprocessing perfectly but I'm having confusion in build a CNN architecture. The arrangements of layers are vary based on problems. If i build a Cnn model it will give partial accuracy but if i use the model architecture in websites i got accuracy. How to be good at knowing the arrangement of these layers sir

Waiting for a tutorial using transformers. I learnt a lot from your tutorials.

Bro,where do you work?

Wow 😮😮... I almost forgot it was an AI 😀

Thanks sir for this project. It was much useful☺️

Bro Create a Video on doing Open Source Contribution with a project

Brother, teach tensorflow please ❤❤❤

Thank you

logistic regression is a classification algorithm. you were meant to write linear regression.

It is going to place very important role in improvement of my skill for free

Clear architecture diagram of this project

Sir. ..what type of algorithms used in this

Anyone explain me why we are especially using SVM algorithm here ? could we use KNN insted of svm?

Wow this is 😮😮

Make video on langchain also

Love you brother♥

Thank you so much sir 🎉🎉🎉🙏According to your ML course we done our final year project successful from the background of Non IT sector 😅

Best Liner Regression Videos on KZbin

We need calculus please

Promo*SM 💃

Hello sir... I have a question.. Can i connect my Google collab code of fake news detection to frontend??

Can you tell how can i attach this code to frontend???

Sir instead of pickle can we use joblib

Best Video i found to understand this concept...You are so good Teacher

model.fit(X_train, Y_train, epochs=10) Epoch 1/10 --------------------------------------------------------------------------- ValueError Traceback (most recent call last) <ipython-input-53-5da333ecfa45> in <cell line: 1>() ----> 1 model.fit(X_train, Y_train, epochs=10) 1 frames /usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py in tf__train_function(iterator) 13 try: 14 do_return = True ---> 15 retval_ = ag__.converted_call(ag__.ld(step_function), (ag__.ld(self), ag__.ld(iterator)), None, fscope) 16 except: 17 do_return = False ValueError: in user code: File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1401, in train_function * return step_function(self, iterator) File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1384, in step_function ** outputs = model.distribute_strategy.run(run_step, args=(data,)) File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1373, in run_step ** outputs = model.train_step(data) File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1151, in train_step loss = self.compute_loss(x, y, y_pred, sample_weight) File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/training.py", line 1209, in compute_loss return self.compiled_loss( File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/compile_utils.py", line 252, in __call__ self.build(y_pred) File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/compile_utils.py", line 194, in build self._losses = tf.nest.map_structure( File "/usr/local/lib/python3.10/dist-packages/keras/src/engine/compile_utils.py", line 365, in _get_loss_object loss = losses_mod.get(loss) File "/usr/local/lib/python3.10/dist-packages/keras/src/losses.py", line 2965, in get return deserialize(identifier, use_legacy_format=use_legacy_format) File "/usr/local/lib/python3.10/dist-packages/keras/src/losses.py", line 2912, in deserialize return legacy_serialization.deserialize_keras_object( File "/usr/local/lib/python3.10/dist-packages/keras/src/saving/legacy/serialization.py", line 537, in deserialize_keras_object raise ValueError( ValueError: Unknown loss function: 'sparse_categorical_crossentrophy'. Please ensure you are using a `keras.utils.custom_object_scope` and that this object is included in the scope. See www.tensorflow.org/guide/keras/save_and_serialize#registering_the_custom_object for details.

thanku sir for the project sir u tell that how to write this project in resume?