Differences between NLTK and Spacy : i)Purpose and Design: Most of the times NLTK will be focused more on Research, Academic and Educational sectors and Spacy is designed with a focus on efficiency and production use. ii) Performance: NLTK is slower than Spacy which can be a drawback for large-scale or real-time processing tasks. Whereas spaCy is optimized for high performance, making it much faster than NLTK. It’s designed to handle large volumes of text data efficiently. iii)Features and Capabilities: NLTK provides tools for almost every NLP task and It is rich in Educational Resources. spaCy includes pre-trained models for a variety of languages and spaCy integrates well with deep learning frameworks like TensorFlow and PyTorch, which is advantageous for modern NLP tasks. Ease of Use: Due to its flexibility and range of options, NLTK can be more complex to use, especially for beginners. Whereas spacy is User-Friendly and it has a more straightforward API and is easier to get started with, especially for common NLP tasks. Community and Ecosystem: NLTK has been around longer, with a larger number of academic users and more extensive resources. Whereas spaCy has a rapidly growing community, especially in industry, and it benefits from regular updates and new features. Summary: Use NLTK if: You need a comprehensive, flexible toolkit for detailed NLP tasks, research, or learning. Use spaCy if: You need a fast, production-ready solution with pre-trained models and an easy-to-use API for common NLP tasks. Important Note : Each library has its strengths, so the choice between them depends on the specific needs of your project.
@ajithdevadiga9939
15 күн бұрын
good insights.👍
@rithikreddy1262
7 ай бұрын
Hello Krish, A small problem at time 2:30:21 the n-gram explanation video is skipped. Please add the video corresponding to N-gram. Thank you.
@SaahilPriyaPrasannajeet
6 ай бұрын
Thanks for sharing and educating us. Keep it up.
@user-ul2mw6fu2e
10 ай бұрын
Hey Krish. İ think you can read my mind😅. Thank you for video
@cec408_adityachoudhari5
10 ай бұрын
Sir will you also cover deep learning models in nlp?
@NoDoglapan
9 ай бұрын
at 2:30:20 you finish BOW video and transition into TF-IDF video and say that in previous video you have mentioned about N-grams. I didnt find the N-grams video. Am I missing something?
@islamiczone7731
5 ай бұрын
Yes! N-gram topic was skipped
@gichurumuthomi8578
10 ай бұрын
Can you please create end to end project with real time data, ie using Kafka for streaming, Django for the backend and atleast use kubeflow for tracking 😊,,I'll appreciate
@sapnilpatel1645
10 ай бұрын
We really want this kind of project.
@soumyah488
9 ай бұрын
in ineuron there is a course for end-to-end data science projects. You can check it out
@kmrjt1
10 ай бұрын
Thanks for all the amazing information you keep sharing over youtube. Please keep up the excellent work, your data science knowledge is of great help to the community of aspiring data scientists.
@huepalette-eye
6 ай бұрын
I watched this video entirely , its very useful for me. I paid 55K for a data science and I am learning from here you are much better than any one there . Thank you Krish 😍
@Mani_Ratnam
10 ай бұрын
Who needs institutes when krish sir is ready to give everyone this much free resources.
@aghazohaib4753
9 ай бұрын
NLTK is a comprehensive and educational toolkit suitable for a wide range of NLP tasks, while SpaCy is a focused and efficient library designed for production use, particularly for tasks like entity recognition and part-of-speech tagging.
@Sachin-z1i7b
Ай бұрын
Please provide a link of 2nd part of this video which contains the after word2vec. The DL part
@gauravdesai8863
2 ай бұрын
Can anyone comment on this ??? Will I be able to crack an interview on NLP after watching this vdo ?? Plz comment if u have watched this till the end
@suryanshpandey5968
2 ай бұрын
Bro this video was from basic to intermediate now go check his live nlp serious from day 6 onwards till the end to crack interviews on nlp
@SambitSatapathy-e4b
9 ай бұрын
Thank you for uploading such nice and comprehensive lectures (not videos) and explaining it so nicely. Your commitment is quite commendable. Please make such one shot videos in the future too.
@Naveen-hy6gy
2 ай бұрын
Not sure if you will be reading these comments.. I really really like the way you teach.. its very informative and made it very easy to understand with the examples (giving the not so good ones first and then coming to the one which fixes all, this way gives the clear picture, also helps in clearing interview questions). very good narration, like a director of a movie narrating a story, which shows that you are so passionate in teaching and making others understand what you are explaining. And finally very very good voice. Thanks a lot KRISH NAIK SIR. Subscribed and waiting for more videos from you.
@schan263
4 ай бұрын
I am both happy and sad. Happy that I discovered the channel today. Sad that I discovered this channel only today. I wish I discovered this channel 4 years ago. So the overall sentiment of my post is positive :)
@abdullahalmahfuz6700
3 ай бұрын
sometimes, it's classified as neutral
@ushabathula
10 ай бұрын
Thank you for being a guiding light in the vast sea of information, providing clarity and understanding to those who seek knowledge. Your commitment to the betterment of individuals and society as a whole is truly uplifting.
@anirudhrvs4849
10 ай бұрын
N grams topic is missing. Could you kindly check the video again ?
@abdallahelra3y118
5 ай бұрын
Aww, you did an incredible job, Krish! I was fully engaged for the entire 4 hours and didn't get bored once.
@shrutiagarwal9801
5 күн бұрын
Great explanation, could you please provide the link for the subsequent parts of the pyramid (RNN, Transformers and BER)
@indukashyap1175
10 ай бұрын
Excellent Video, Just started with it, got clear about basics of NLP
@harshmodi7627
8 ай бұрын
Upon reading the documentation and paper on CBOW, I have two questions - 1. You explained that when we chose a window size, for example 3, we take 3 consecutive words from the corpus and take the middle word as target word and words before and after (1 each in this case) to provide context for the target word. However the documentation says that the number of words we take as window size determines the number of words taken before and after the target word. So for example if we take window_size = 3, we take 3 words before and 3 words after the target word to provide context. 2. We can chose the hidden layer to be any size. It is not important that it matches the window size, since the input layer does average or sum of the input vector and hence it's size is always [1 x V] where V is the vocabulary size. The input-hidden layer matrix is on size [V x N] where N is the hidden layer size, and then the hidden-output layer matrix is of [N x V] and finally the output layer if [V x 1] Can you please clarify my doubts here
@anirbantarafdar28
5 ай бұрын
I also have confusion in this step. i cant figure out the output dimension
@priyalgeorge7112
2 ай бұрын
In CBOW, i was also confused about the size of hidden layer. as i understands, hidden layer nodes can be of any size.
@avinashab4038
10 ай бұрын
Can you please provide notes for this video
@sathish1078
9 ай бұрын
Great Video Krish, Some how Ngrams is skipped, Can you please add it
@DhimanGhoshYT
8 күн бұрын
2:30:27 @Krish Sir, The previous lecture was about the bag of words, not N-grams. where can I find the lecture on N-grams?
@jillanisofttech2977
9 ай бұрын
Hey nice but this is old vedio sir i am one of your very old subcriber so i remember last year you upload this vedio. And at 16.26 vedio time frame please check your time too at the right bottom of your vedio when you open gmail. 17/10/2022 So please Sir Krish Naik I really respcct to you becuase i very learn from your side you are one of my best Online Professior. SO please don't mind for my commend. If you mind then i sorry you and please accept my applogies too. My Main request is this if you upload new vedio on NLP then its very helpfull for us.
@careerglitch
4 ай бұрын
Great insight, what is the name of that digital board that you're using to capture your illustrated drawings?
@lathachelluri5129
10 ай бұрын
Hello krish Are you starting any new batch for data science?? plz let me know If possible plz shre any link regarding that!! Thank you
@ujjawalagrawal
9 ай бұрын
Thankyou sir.. It was very useful to have it in single video.. All concepts were very clearly explained. God bless you sir.. I am 45 and trying to learn AI Ml😊
@ameyakhot4458
15 күн бұрын
Is there an extension to this playlist leading to introduction of LLMs and how to train generative models?
@msmg11
9 ай бұрын
n-grams tutorial video is missing
@DeekshithTN-e7u
4 ай бұрын
Great video Krish much needed Thank you so much, You are Awesome!!!!
@RaviSingh-bl6ls
10 ай бұрын
hello krish , how to handle curse dimensionality in huge corpus?
@DeanHirt
19 күн бұрын
Thompson George Hall Steven Jones Mark
@DhimanGhoshYT
8 күн бұрын
This video is from his Udemy Paid Course: "Complete Machine Learning,NLP Bootcamp MLOPS & Deployment" - Section 48
@ankitsharma1229
11 сағат бұрын
i find it old i cant perform steps he is doing
@GeorgeMcKnight-w9b
12 күн бұрын
Davis Anna Jones Sarah Gonzalez Laura
@aliasad5509
22 күн бұрын
NLTK: Purpose: Teaching, research, and experimentation. Ease of Use: More complex, requires manual setup. Speed: Slower, prioritizes flexibility. Models: No pre-trained models by default. Data Handling: Uses Pythonic lists, trees. Visualization: Basic, limited tools. Learning Curve: Steeper for beginners. Community: Strong in academia, research-focused. spaCy: Purpose: Industrial use, production-ready applications. Ease of Use: Simple API, pre-built pipelines. Speed: Fast, optimized with Cython. Models: Provides pre-trained models out of the box. Data Handling: Uses optimized objects like Doc, Token. Visualization: Interactive, built-in tools like displaCy. Learning Curve: Easier, beginner-friendly. Community: Growing, production-focused ecosystem.
@SK_BA
10 ай бұрын
Where is Transformers and BERT?
@RonMatthews-q6h
Ай бұрын
Martinez Margaret White Charles Jones Donna
@fasiowaizahmed4641
Ай бұрын
such a GREAT video on NLP. i just LOVED your explanation!! keep up the good work!
@fansclub7758
6 ай бұрын
Thankyou so much Krish Sir for this amazing video.
@krishnarohith-e7o
7 күн бұрын
One Of the best course, regarding to nlp. thank you so much sir.
@anshulvairagade1604
Күн бұрын
can you tell me if he covered TF-IDF?
@gymdirections8372
10 ай бұрын
Helped to revise the concepts. Thank you Krish sir
@anshulvairagade1604
Күн бұрын
can you tell me if he covered TF-IDF?
@srimanduraiswamy3242
10 ай бұрын
NLTK is widely used in research, Spacy is focuses on production usage.
@aryangupta9366
7 ай бұрын
okay for lemmetization how would we find the pos is noun, verb, adjective or anything else like for a big corpus?? because we cant explicitly check for all the types right?
@Anuragbharti-jj5lf
5 ай бұрын
Sir, There is N-grams topic is skipped automatically .so, please discuss it again or fixed this video
@dheerajsharma1787
7 ай бұрын
Can anybody please tell me how can I enable extension support like code completion in jupyter lab. I have searched stackoverflow but all effort had been in vain.
@shreyanssoni9594
3 ай бұрын
NLTK is a string processing library. It takes strings as input and returns strings or lists of strings as output. Whereas, spaCy uses object-oriented approach. When we parse a text, spaCy returns document object whose words and sentences are objects themselves.
@slappy703
2 ай бұрын
$100
@lastblackbear8305
6 ай бұрын
However, the process of tokenization usually goes from a larger unit to a smaller one, not the other way around. So, it’s more common to tokenize a paragraph into sentences or a sentence into words, rather than tokenizing sentences into a paragraph. @37:21 your comment says ##sentence to paragraph tokenization however you ended up using sent_tokenization() which accepts a paragraph and breaks it down into smaller sentence
@swatisharma7822
8 ай бұрын
Thanks for this video. N-grams is missing from this video. Could you please upload that separately annd share the link?
@spotnuru83
4 ай бұрын
Completed this course end to end and it is super amazing to be frank, i wasted a lot of money going for trainings. only request is could not find things like how to train a model to recognize our own named entities and how we can use nlp to take in un structured data to structured data , how to create a model from scratch to build something similar to word 2 vec with our own corpus kind , also some real time examples would be of great help. I know you are already doing a lot for free, but if you can help in the above requests it would be of great help.. please see if you can do this and I appreciate a looooot for what you are already doing for free. not seen anyone explaining in this detail and simple ways...
@kiranbhat8729
7 ай бұрын
Amazing videos. Curious to know which app/tool you use for creating notes
@aryangupta9366
7 ай бұрын
how is parts of speech going to work for ungrammatical sentences like some word's part of speech may depend on context and semantic in sentence as well right?
@___9370
2 ай бұрын
personal timestamp day 1- 31:36
@avisii8928
10 ай бұрын
Hello sir, can you help me with my final year project, i'm trying to build a website where users uploads resumes in pdf format and admin classifies all resumes into predefined categories and ranks them based on job descriptions using cosine similarity and they said we cant use external libraries. can you help me out?
@Vivek2495646
7 ай бұрын
Thank you for this amazing content
@rakesh8048
2 ай бұрын
I bought FSDS course from ineuron cos of your name but learning from here.
@padam_discussion
2 ай бұрын
Looks great video, I'm halfway right now.
@Danny_DB-xi5lo
9 ай бұрын
Where can I find the next part..? Like practical implementation of word2vec with model training from scratch using gensim or Glove... Also practical implementation of tf-idf, bow... Pls share those videos as well
@ishan_sinha
28 күн бұрын
Can someone suggest me where can I learn ANN, optimisers and loss functions to go ahead with this video?
@mohammedzaidkhan5687
5 ай бұрын
that arabic was - Kayfa Haalak in case someone was interested in pronunciation
@n.aniruddhan4464
9 ай бұрын
petition to upload the deep learning part of NLP ASAP, i have college exam next month
@shantanukaushikmathoholic
8 күн бұрын
Histori is root word for History
@talhajobayer8666
4 ай бұрын
can i do this without doing ML/AI basic concepts?
@ninjadev4676
4 ай бұрын
really nice explanation brother, please, can you share your notes?
@majydenam9423
5 ай бұрын
Thank you Krish a friend introduce me to your videos. very wonderful and educative. Akpe na wo Mawu ne yrawo 💯
@pavanm361
3 ай бұрын
Thank you so much for showing path to our life krish…
@denilCristeno-g6i
18 күн бұрын
Runolfsson Freeway
@ElizabethWilliams-b8z
16 күн бұрын
Satterfield Points
@gorillabiscuitsmerch
16 күн бұрын
Francisca Groves
@MarthaArchibald-e1c
7 күн бұрын
Buckridge Shore
@JasonBraswell-o4r
6 күн бұрын
Carter Burgs
@vishnuteja2093
10 ай бұрын
Excellent roadmap. Really looking ahead.
@guruprasadkulkarni635
10 ай бұрын
so this is combination of your old videos right?
@krishnaik06
10 ай бұрын
No these are new recorded videos
@guruprasadkulkarni635
10 ай бұрын
@@krishnaik06Dhanyawad, pichle videos samazhke skip karne wala tha
@NoraZachary-b1r
15 күн бұрын
Paucek Junctions
@ChiFlumerfelt-r6v
11 күн бұрын
Jessyca Mountains
@RachelleGomez-t6l
12 күн бұрын
Schneider Stravenue
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13 күн бұрын
Cormier Islands
@GraigLeski-j6d
18 күн бұрын
Chadrick Views
@BrittnyHenley-f5z
Күн бұрын
White Bridge
@BlackCharlotte-m3g
Ай бұрын
Yasmine Parkways
@ManuelaNace-w6n
8 күн бұрын
Dell Burgs
@GaryLewis-i5t
6 күн бұрын
Meghan Estates
@cdddvv-f7t
11 күн бұрын
Moore Junction
@JackieJeremiah-e8y
17 күн бұрын
Kevin Villages
@EmmieKent-p4y
11 күн бұрын
Brielle Plaza
@PatrickEleanore-m4p
15 күн бұрын
Hickle Lodge
@diaafayed-u3d
9 ай бұрын
what are tools used in preparing the video?
@princenigam-w3e
8 ай бұрын
Can you help.. I am getting error while installing gensim package Building wheel for gensim (pyproject.toml): started Building wheel for gensim (pyproject.toml): finished with status 'error'
@ScottDaniel-g7i
12 күн бұрын
Jimmie Heights
@BeckyMarvin-l7t
8 күн бұрын
Mueller Brook
@KeatsRockefeller-d8q
13 күн бұрын
Eleanore Trail
@KathleenDerrick-d9o
11 күн бұрын
McClure Run
@CliffordMacpherson-l8e
16 күн бұрын
Rempel Prairie
@DineshKumar-tn4lo
10 ай бұрын
Sir can you tell how can I use azure openai api for llm in python
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