Complete Road Map To Prepare NLP-Follow This Video-You Will Able to Crack Any DS Interviews🔥🔥
Вставка
- Опубліковано 10 лют 2025
- In this video we will discussing about the complete
road map to prepare for NLP so that you can crack or ace any
data science interviews
NLP Playlist: • Natural Language Proce...
Complete Deep Learning playlist : • Complete Deep Learning
Bottom Top Approach Of Learning
1.Text Preprocessing Level 1- Tokenization,Lemmatization,StopWords,POS
2.Text Preprocessing Level 2- Bag Of Words, TFIDF, Unigrams,Bigrams,n-grams
3.Text Preprocessing- Gensim,Word2vec,AvgWord2vec
4.Solve Machine Learning Usecases
5.Get the Understanding Of Artificial Neural Network
6.Understanding Recurrent Neural Networks, LSTM,GRU
7.Text Preprocessing Level 3- Word Embeddings, Word2vec
8.Bidirectional LSTM RNN, Encoders And Decoders, Attention Models
9.Transformers
10.BERT
-----------------------------------------------------------------------------------------------------------------------
Recording Gears That I Use
shorturl.at/wzI68
---------------------------------------------------------------------------------------------------------------------------------------------------------
Please donate if you want to support the channel through GPay UPID,
Gpay: krishnaik06@okicici
Discord Server Link: / discord
Telegram link: t.me/joinchat/...
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
/ @krishnaik06
Please do subscribe my other channel too
/ @krishnaikhindi
Connect with me here:
Twitter: / krishnaik06
Facebook: / krishnaik06
instagram: / krishnaik06
#naturallanguageprocessing
#nlp
#nlpinterviews
#revisionfordatascienceinterviews
on YT the one and only guy who really wants to help people is krish naik, bcos i saw many NLP YT Videos but those people just for name sake making videos without any order, just creating mess but welldone krish naik u r doing good, thanks a lot
He is that teacher which our education system genuinely needs . He's self taught hence that is visible in his lectures. Absolutely amazing !!
P
Krish Sir App Mujhe Pahle Kyu nahi Mile jb Maine DS Learn krna start kiya. You are simply great.. Salute to you.
Thanks!
I was looking some one explain what has to learn exactly but I couldn't find finally I got it on this channel, great thanks a lot sir
very useful thank u so much, even lot of paid courses not ready to teach this much of in-depth in every concept . Thanks again
i love how you spelling it, if we could build such a pyramid for other techs, life of the learners would be much easier as it s enough to keep in mind this intuitive/organic scale of complexity.
thank you sir . . NOw I am going to finish this playilst ... with notes... It is beautiful playlist .. I have gone 3 times through this serries...
I just love how you keep reassuring us in the video that you got us covered from bottom to top. This is super helpful. Thank you
You are simply awesome Krish. Devru olledu maadali nimge 🙏🏻🙏🏻🙏🏻
very good explnation for people looking for a career in nlp
Great Krishna, superb, concepts are well explained with use cases
At 13:00 you had mentioned about weakness of LSTM. If we take the use case of Statistical Machine Translation and I have 2 sentences in my training set :
1) "I cross the river bank to reach primary school"
2) "I need to go to the bank to urgently withdraw funds"
Both are longish sentences. And if after conversion to Vector Representation, the word "Bank" has a different meaning in sentence 1) where we need to look at previous word river, while in sentence 2) we need to look ahead (right context).
Is this the issue with plain LSTM that Bidirectional LSTM is able to overcome?
Were you able to figure it out ?
If yes, pls explain
Bidirectional LSTM required when you are referring to intial word later in sentence ,for example I belong to Hyderabad so i can speak Telugu well ..so in this cases you need it
Fantastic Krish, Clear cut overview about NLP
I think anyone who is in nlp has eventually followed this kind of roadmap even though the order may be a bit different.
In 3 to 4 days I will be appearing for interview and my project are related to NLP sentiment analysis and recommendations system. It is going to help me a lot ☺️
All the Best Manish for your interview. Wish you crack it and come out with flying colours
This will give you an advantage
, m(dozens so where ah as
i liked this video sir. very good roadmap u explained in that. thank you very much to sharing this knowledge with us.
I just can't thank you enough, words would not be able to compensate for your greatness !
Eagerly waiting for the video
Thankyou❤️🙌sir ✨✨✨✨god bless you🙌🙌🙌🙌
Amazing
Nice, I got it what is NLP. thank you so much for your lectures.
The Diagram is awesome. It's very helpful
Great Tutorial...
Thanks for your efforts
@Krish Naik Named Entity Recognition (NER) is missing
awesome playlist
5ok times better than Coursera ...... Thanks a lot Krish
Can't wait 🤩
If I need to cover NLP, is this playlist suffix or I need to refer to deep learning playlist also?
Great Sir, Big fan of yours. Thanks a lot for detailed course. Hats off.
.
These guys in iNeuron are showing how the education world is suppose to work, how it can be free but also provide quality at the same time and not just a fancy useless certificate...
clear answer krish thank you
Much awaited!!!
Thanks for this wonderful NLP content
Sir can u make one for computer vision?
hi, sir im new on your channel, please make a video on N-Gram
Thank youuuuuuu 😊
Great work for humanity.. thanks krish.. hats off to you for such efforts
HI sir ,thanks for sharing your knowledge it really helps me alot sometime, i have a question.
if LSTM has problem , why cant we directly use bidirectional LSTM instead of LSTM , can we skip LSTM and directly apply Bidirectional LSTM ?
Really..thank you sooo sooo much...for sharing ur knowledge..that too for free..helping lotzzz
And, could you also put up some material on how Hidden Markov Models are used in NLP? have studied them way back in 2011 during my Master's degree in the pre Deep Learning era. But don't have much practical exposure to NLP? And does acoustic model for phonemes recognition come more under speech Recognition? Could you also provide a short description on that?
Have you ever used spacy when it comes to NLP? If yes: Would be lovely if you could cover how you used it...Thanks for your work
Thanks krish😁
Thank you ,
sir could you please upload videos on BERT
Clear and simple explanation love😍 it
Sir I am following this playlist but I am stuck in between because I am not familier with ML,DL so I want to know the important topics of ML,DL which are using in NLP so I will learn only those topics otherwise the whole syllabus of ML,DL will takes too much time , please tell me sir what you prefer to me.?
i think even glove is a good algo for nlp
i am beginner in ml , from where can I start in your playlist ? can u tell which playlist to start first ?
Which is a better option ..going for a full time Mba/pgdm course or pgp in data science and business analytics from great lakes???? Could u plz answer???
Same here Pranjal.
If u have any idea could u share it with me.
Kalangiprasad9@gmail.com
go for pgp data science, i regret doing an mba
@@kalangiprasad4073 yeah, for sure i will👍👍
@@rashmikotian5802 ohhh why so?? From which college u had ur Mba ?
Don't go to anywhere just follow the krish Naik sir Play list it's more then knogfh to get a job. I have done my ML program from 2 different institutions but no use. Now I am very happy with krish naik sir video's
Krish now add the Bert and transfomers in the NLP playlist
Great video, good content.
Can you please do the video on unstructured text to ontology using NLP. Thanks
I have done several nlp tasks and out of all what I have felt is , unsupervised text categorization , like classifying them based on topic is what I felt difficult especially if problem becomes multilabel
Don't have time ever clock⏰ 5:20
Did you try to use Topic Model (like Latent Dirchlet Allocation) ?
sir sabse pahle kya padhe machine learning playlist ke baad deep learning ya nlp
Hi @Krish, could u please make video on ..what is most challenging task u have face in during ur project ..and how Do resolve it ..this is one the question I have faced during the interview ..eagerly waiting more videos on interview playlist
You just take a real world usecas and collect the data from different sources and start future engineering and future selection and create a model and deploy it on any ☁️. After that keep that project URL in your CV and tell to them I have done this project no matter it's small are big. Just tell them this is my Idea and I converted my Idea to ML model. Now main point is you know what you face major problem when you creating a model
sk vali thank you so much for reply
@@rohitsingh-ng2tk your welcome bro
@@rohitsingh-ng2tk what about your interview
@@skvali3810 still going on facing real time question
please can you make video on neural machine translation
Thank you so much
How can we efficiently find the similar records/documents out of a huge collection?
hi krish....extraordinary elaboration about NLP ....thanks alot...by this video lot of confusions cleared.
This is just amazing. No words.🙂🙂🙂
Sir what are the prerequisite to learn NLP like ML,DL.. before starting NLP
It was really helpful. Can u make videos on Grammer Correction using Rule based methord, Language Models & classifiers.
its really hard to understand it otherwise
Great explanation.Thanks
My project 1
Income qualification:
Objective:You are given a dataset of costa Rican household characteristics
Problem statement:
Identify the level of income and predict the level of need
Now look like nlp playlist complete bcos I follow this playlist in past but its feel like incomplete
i agree i was following it too...seemed incomplete...but now we can work through.....
Sir Any plan for computer vision playlist?
Krish could you suggest how to prepare for NLP job
Sir, will we be able to do text analytics and sentimental analysis after watching this playlist?
Krish where are spark sessions??
Any NLP books as recommendation?
Thanks Krish
Hi, Krish.... Have you added BERT model videos somewhere else ?
Thank you.
Following this will help me make it in my own language?
Could you please order the videos in the Statistics playlist
Hi krish, Can you please do video on mutual funds project like sentiment analysis or recommendations. It will helpful alot.
Can we extract tabular data from PDF using NLP models ?
BERT is not covered in this playlist right?
thank you.
Thanks
please make similar video for computer vision. thank you.
This is really a gem❤
Hello Sir I have been following you and have currently completed your Machine Learning playlist. So can you tell me that how much prior knowledge we need to have to start with this course, do we need deep learning, if it is so then please tell me do I need advance deep learning like Boltzmann Machine, Autoencoders, GANs and etc or is it okay to start now.
You just need to have the basic knowledge of DL
@@dhruba1992 Thanks brother for this, although I have already joined an organization as a data scientist, I hope your reply would help others who are still in need of such a valuable information ☺️☺️.
Congratulations brother
Sir can you please upload BERT VIDEO please
Can you share the image link so i can take print out of road map to NLP
Sir please help me with implementation of dask on NLP
Where are bert session, I can’t find it on your playlist!!
same here
I found it his another tutorial transformer + bert ua-cam.com/users/results?search_query=bert+krish+naik
Sadly I cannot see the BERT video in this playlist
Dear respected sir where is the transformer video and bert
Brother, I don't understand one thing when anyone speaks about NLP, CV, ML they also told about software engineering. What does it mean? Does it mean if you want to be an ML engineer you have known or learn software engineering also? Is there any job of those fields whose tasks only NLP, ML, or CV not software engineering?
Sir what is capstone project sir
Please upload BERT sessions please sir
Can you please guide me on learning NLP with R, I guess most of the libraries mentioned are python based. I am not sure if these libraries can also be used in R language as well - Please advise. Thanks
Krish please make video about "Complete road map to prepare Computer Vision" 😁✌️
Please show me live projects for me
Did you upload BERT, please
guys, at 3:04, can anyone spell the library name mentioned?
Request you to please include Topic Modelling videos as well like Unigram, Mixture of unigram, LSA, PLSA, LDA etc
Can u share some projects to me
i come across with all these concepts in my organisation but its hard me to working on question and answering using tensorflow or pytorch but i am aware of rasa core n rasa nlu where it is easy to generate question and answers. krish why dont you make a video on question and answering using tensorflow