Day 11-Advance NLP Series-Bidirectional LSTM Intuition And Implementation Deep Learning|Krish Naik

[@sathwiksathish2242]

Hello Krish sir, There 100s may be 1000s of us who are eagerly waiting for your live sessions on advanced NLP . Please try conducting them as soon as possible! :)

[@gourabbanerjee9531]

hats off to your hard work and teaching skill last 4 days I have completed 11 videos in NLP series documented every words you said. One of the finest series in NLP. Love you sir 💌

[@MeenatchiA-k2g]

Thanks to you for providing clear-cut explanation on ML, NLP concepts and more that helps people like me to understand them really well.

[@aaryankangte6734]

Sir pls complete the playlist which u have promised. waiting eagerly for next session

[@harshitbajeta206]

It's already been 6 days from now, Sir please take next session .I am waiting for that .

[@rafibasha4145]

Its been 2 months now but still the same

[@ComicKumar]

@@rafibasha4145 It's been 4 months now!

[@ritikkohad5045]

@@ComicKumar 11 months now!😕

[@harshgupta-vn1tl]

@@ritikkohad5045 1 year now

[@ritikkohad5045]

@@harshgupta-vn1tl 1 Year and 1 Month now 😐

[@gymdirections8372]

Krish Bhaiya ,,you are doing great ,,such a kind person you are to motivate and putting all efforts towards Datascience.

[@dswithanand]

thanku for the video..its amazing to learn from u krish

[@nightowl5136]

The error that you faced while reading the CSV file is due to incomplete upload of the CSV file. Let the file completely load in Google Collab then everything works properly

[@AtharvaPatil-gm3iu]

df=pd.read_csv('train.csv',engine='python',on_bad_lines='skip') some time use on_bad_line='skip'

[@jaffa-nm6cu]

Hi Krish,Please finish NLP ASAP ,also start MLOPS

[@rizkyputrakurniawan24]

Thank You Sir !

[@a_praj]

Hi Sir, please continue the sessions on Advance NLP.

[@ritubansal3397]

Good job Krish I really appreciate your hard work.. and eagerly waiting for your new videos...

[@SaurabhSinha-di2sl]

Hello Sir, Please complete this playlist. We all are waiting.

[@devanshumishra6430]

thanku so much for this amazing session was helpful alot.👍👍

[@neerajashish7042]

sir, when is the next session, waiting eagerly

[@ritikkohad5045]

It has been 11 months please complete the series sir. Lot of students who can't afford the courses are relying on you.

[@geekyprogrammer4831]

Finally! I was waiting for it 😭😭

[@avirajankitjain256]

U said u going to make a advance tutorial of Pyspark (not talking about the previous 12 videos) but still not get. Kindly do that ASAP.

[@dswithanand]

@krish Naik plz complete the series

[@mainuddinali9561]

sir when u r going to complete nlp, and also make a video on hyperparameter tunning aleast give some clue ,upto when we have to wait

[@prateek6306]

Sir,when are we going to have next live session ?

[@gelanaabdisa1129]

thank you krish

[@panndxb1]

Hi @krishnaik , can you explain difference between embedding vector features and sentence length list

[@shyamkumaraghera6086]

Sir, please complete Advance NLP series

[@Xnshau]

Awesome 👍

[@ArmaanHussainYT]

Sir plzz complete the series.. Can't find videos after day 11

[@devanshumishra6430]

Sir can u do the nlp live session today or in coming days of the week..

[@siddavatamthirumalareddy973]

Hi @krish , can you please upload remaining live recording videos

[@saurabharbal4474]

Hi, Krish Sir, Thank You for this all. I really loved your teaching. I this part and LSTM, I have noticed some things like as in bag of words, and Tfidf their are some disadvantages such as sparse matrix, is same manner it is with this method also. How to overcome this.

[@sagargupta7609]

😊

[@RAVIRANJAN-k4b]

sir , error was happened because the dataset wasnt uploaded fully in colab

[@prateek6306]

Cant see day 12 video,have you done that ?

[@rahulaher3874]

sir when is the next session, Bert,encoder,decoder and Transformers and Bert practical implementation?????

[@sahiljindal1226]

Sir , Plz complete the Playlist

[@sandipansarkar9211]

finished watching

[@hammadalamsiddique3730]

Sir please complete NLP series

[@medhimintu123]

Sir it is going to be almost 1 month ...Please complete the playlist...

[@geekyprogrammer4831]

Its almost 3 months we are waiting for you to complete this series. I know you are very busy.

[@ajaynegi6278]

Sir! why you are not telling about hyperparameters of these also?

[@harshgupta-vn1tl]

Hi Krish will there be a next vide!! eager to learn!

[@luckyagrawal6029]

Waiting for the next session

[@kshitizkhandelwal879]

Please upload the next session sir

[@karthikmadan]

next video as per promise?

[@praveenkarthika]

Thanks! @krishnaik06 for your lovely tutoring.. .please keep it up .

[@petworld9722]

boss i want to purcharse a headphone best quality, in which company or model r u using headphone ? plz reply

[@yourboyfazal]

sir we are waiting for the next session please

[@szamansobuz1454]

How can I join as a member in your chanel. Cant find the join button.

[@mainuddinali9561]

I m still waiting for next session Plz tell something

[@c.nbhaskar4718]

hi krish . if i want to see what the real output of a test data . how to see that?

[@bruhm0ment767]

just print it bruh

[@c.nbhaskar4718]

@@bruhm0ment767 predicted output of test data

[@bruhm0ment767]

@@c.nbhaskar4718 well you could export it as a csv. For example, predicted_outputs=model.predict(test_X) output_dataframe=pandas.DataFrame(data=predicted_outputs).to_csv('file_name.csv',index=True) this will give you a csv with a df that has predicted_ouputs as columns OR, if you just want to view the outputs, just print it out directly like print(list(predicted_outputs))