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Hey @yashvi Do we use this datasets in pyspark also? Am I right?

That's very useful content!!

Why reduce the count by 1? Any intuitive explanation? And what is the outcome of this algorithm? How to interpret it?

Thank you @Yashvi Patel, this is honestly one of the simplest explanation of LDA that's available on RUclips

can you provide link to dataset please?

You are a genius! Fantastic video! Thanks!

You are good man! Amazing!! Thank you so much.😊

use urdu instead of english for better understanding

instead of reading explain it

Very well explained , thank you

Stupid video

Hi, I was wondering how the topics are initially defined and given a document of thousands of words, how do we decide how many topics there is or how large (word counts) a topic is? Thanks!

Great guide.

Very good points. I have a problem where i have images of very large size and could not load even single images for training with batch size one. Please suggest on this

The calculations appear to be wrong

This is really good

Good explanation. Well done

Thanks for the extremely easy to follow tutorial!

great explanation

Hi, thanks for this clear example. The same sample project can deploy directly on cloud run? Or needs to change the connection function to Cloud Sql?

Hello Yashvi mam your video was of great help. How do I load a large file to cnn for example a 64 x 100000 . Can it be separated into batches

Thank you!

What about using cloud services, please make a video on that topic too🙂,

thank you so much

Great video, very informative , please make more video like this

how are you able to load the whole dataframe in the train variable... its not working with large datasets

I had this problems at kaggle and also came across your id in kaggle, kind of surprised to find this video here, you helped me clear my doubts a bit, thanks mam!

I'm surprised that this video is not popular, Thank you very much for your help.

Thank you very much for sharing your work! God bless

Can you explain a bit on these attributes 'd_1', 'd_2', ... 'd_1917', I am not really understand what they are. Thanks!

My pc has only 4Gb RAM.

Nice but explain step by step

by using vaex library

Crispy video, Thanks learned a lot!

Amazing! I always wondered about this problem but never thought the solution could be this easy!

Why specifically gray scale, why not 3 channels

Hi Yashvi, Great work with videos delivered, suggestion to make your cam view in a round view at bottom right or content images should be adjusted in that way as content is not visible due to that somewhere.

Such an underrated video. Keep the great work going

Hi yashvi , can you mentor me on one project related to document intelligence using nlp . I have just started nlp.

Hi Yashvi, I am 4th year engineering student trying my hands in Machine Learning and Data science. Can you please give me a roadmap for machine learning? I am completely newbie please suggest me something

Hi Yashvi, Just curious? why do you transform an already transformed dataset ? The train_df was transformed earlier and you transformed again during test?

Happiness on your face one the app works as expected :)

os.environ.get('CLOUD_SQL_USERNAME') returns 'None', any suggestions why?

I was following your instructions,but could not move forward due this error, I am unable to connect Python's Flask App with MySQL DB instance on Cloud Shell Editior (Google Cloud Platform). Getting the below error: (2003, "Can't connect to MySQL server on 'localhost' ([Errno 2] No such file or directory)") Traceback (most recent call last): Could you suggest how to resolve Db connection issues?

Nice Video, Thank you so much for this much information

nice work

Hi Yashvi, nice video Can you make a video of which course you opted for learning data science and your journey to get selecting in google. Will be very helpful.

Hi the doc which was attached has been deleted. Can you please re-attach the document. Thanks in advance.

Hey!, the document link that you shared is deleted. Kindly share again

The link to Google Sheets is having a problem. can you please pin it again?