Multinomial Naive Bayes Using Python | Text Classification Using Naive Bayes |

I have explained Multinomial Naive bayes with Practical example and also discussed about NLP basics for text classification.

If you have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer your queries.

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[barathiventhanmurugan]

Great! step by step Clear Explanation this helped alot

[mauriciostefani]

Great video, thanks for taking the time creating it

[rajasafi]

Thanks for the clear explanation mam, but mam from where we get dataset of this model you used in this video

[omjaisinghani]

Very helpfull thank you so much, you are doing good job, please keep it up

[janicejose]

Thank you so much exactly what i was searching for .

[KetanGunjal]

The explanation was Awesome just make one correction @10.20 you said that label encoding means converting text data into numerical. basically it's word embedding. label encoding means converting categorical data to numeric.

[rajhassani]

Keep on Uploading ML projects mam. Your. Your accent shows that you have a great potential in this field.

[rahmaaja]

Great, thanka a lot ma'am 🤗🤗 can i ask to you, what if i want to show xtest result after tf-idf ma'am? I have tried only with the xtest code but the results are not as desired

[samxoxoxoxo]

searching for this everywhere. THANK YOU

[devanshmesson]

Hey, Your explanation is just awesome.
You made these horrifying terminologies so easy!
Thank you so much!!!

[mohanr]

Very helpful ... Thanks for the clear explanation ❤️

[nesel]

Ma'am I'hv been following this video through out my minor project of 7th sem. Now I am stuck at the last phase.. I'hv trained the model and save it using pickle . And while loading it in other python file and use for prediction . It shows "Raise value: Dimension mismatch error" . Kindly help.

[richaaggarwal]

Thanks a lot for such a helpful video ..

[amritasengupta]

Thanks a lot! You explained it very nicely!

[hemanthyelahanka]

very useful to when i tried the same code getting below error in the line
print(df.iloc[:, 0].apply(text_cleaning))
AttributeError: 'set' object has no attribute 'words'

please help me out

[AmitKailashchandraGupta]

Hi Mam,
You have explained very well, I have one doubt, How can we save the model and fine-tune it for new input text and category label.
Waiting for your reply

[anuragsaste]

What if we don't have category column in our table, and just have the contiments?? how will we implement such model?

[thesummertalesd]

This was very simple explanation. Very easy to understand.
one doubt: how to proceed to predict the class of new title?

[mauriciorey]

Hello

I have a question. The data set that you used was for training, which one did you use for predictions? Or am I missing something?

Thanks !

[sandeshbapu]

Thanks a lot, nobody has explained MNB() like this.