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| [TGx]Downloaded from torrentgalaxy.to .txt |
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| 10 |
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| 10 - PNLP-S02V04-V07-NKTK-Hands-On.ipynb |
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| 10 - Stemming Lemmatization.mp4 |
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| 11 - NER and Wordsense Disambiguation.mp4 |
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| 11 - PNLP-S02V04-V07-NKTK-Hands-On.ipynb |
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| 12 |
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| 12 - Introduction to Spacy Library.mp4 |
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| 13 - Hands On Spacy.mp4 |
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| 13 - PNLP-S02V09-Hands-On-Spacy.ipynb |
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| 14 - Summary.mp4 |
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| 15 - PNLP-S03V01-One-Hot-Encoding-Demo.ipynb |
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| 15 - Vector Representation of Text One Hot Encoding.mp4 |
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| 16 - Understanding BoW Technique.mp4 |
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| 17 - BoW Hands On.mp4 |
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| 17 - PNLP-S03V03-BOW-Hands-On.ipynb |
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| 18 - TFIDF.mp4 |
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| 19 - PNLP-S03V05-TF-IDF-Hands-On.ipynb |
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| 19 - TFIDF Hands On.mp4 |
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| 1 - Knowledge Test of Basics.html |
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| 1 - Why NLP and how its different from Normal ML.mp4 |
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| 20 - Introduction to Word Embeddings.mp4 |
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| 21 - Intuition of Vector Representation.mp4 |
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| 22 - Hands On Word Embeddings Usage of Pretrained models.mp4 |
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| 22 - PNLP-S03V07-Hands-on-Word-Embedding-Model-Pretrained.ipynb |
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| 23 - Skipgram Word Embeddings Understanding Data Preperation.mp4 |
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| 24 - Skip Gram Model Architecture.mp4 |
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| 25 - PNLP-S03V10-Skipgram-Implementation-with-gensim.ipynb |
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| 25 - Skip Gram Hands On Deep Dive.mp4 |
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| 26 - CBOW Model Architecture Hands On.mp4 |
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| 26 - PNLP-S03V11-CBOW-Implementation-with-gensim.ipynb |
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| 27 - Hyperparameters Negative Sampling and Sub Sampling.mp4 |
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| 28 - Practical Difference between CBOW and Skipgram.mp4 |
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| 29 - Bonus How does a Network is trained Backpropagation.mp4 |
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| 2 - Understanding Human Language.mp4 |
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| 3 |
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| 30 |
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| 30 - Section Summary.mp4 |
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| 31 |
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| 31 - General Pipeline for Classification.mp4 |
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| 32 |
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| 32 - Approaches to Classification.mp4 |
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| 33 - Loading the Dataset.mp4 |
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| 34 - Exploratory Data Analysis Text Preprocessing.mp4 |
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| 35 - Remove Low Frequency Words.mp4 |
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| 36 - Remove Stop Words with Stemming Lemmatisation.mp4 |
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| 37 - Application of Model.mp4 |
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| 38 - TfIDF Approach.mp4 |
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| 39 - Challenges of NLP Ngrams.mp4 |
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| 3 - Challenges of NLP.mp4 |
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| 40 - Introduction to NER.mp4 |
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| 41 |
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| 41 - Understanding CRF Introduction.mp4 |
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| 42 |
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| 42 - Understanding Chatbots.mp4 |
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| 43 - Building a Simple Chatbot.mp4 |
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| 44 - Hands On Building a Simple FAQ Chatbot.mp4 |
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| 45 - Types of Chatbot and Pipeline for Chatbot.mp4 |
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| 46 - Terminologies in Chatbot.mp4 |
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| 47 - Dialog flow Introduction.mp4 |
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| 48 - Basics of Dialogflow.mp4 |
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| 49 - Dialogflow system setup.mp4 |
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| 4 - Summary.mp4 |
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| 50 - Create Dialogflow chatbot.mp4 |
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| 51 - Dialogflow Fulfilment.mp4 |
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| 52 - Dialogflow IntegrationsDeployment.mp4 |
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| 53 - Dialogflow Miscellaneous Tools.mp4 |
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| 54 - Deep Dive into the components of Dialog System.mp4 |
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| 55 - Dialog Intent Prediction.mp4 |
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| 56 - Deep Learning based intent Classification.mp4 |
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| 57 - Project Files for RASA.html |
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| 57 - rasa-demo.zip |
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| 58 - Introduction to RASA Chatbot.mp4 |
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| 59 - Installation of RASA.mp4 |
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| 5 - NLP Pipeline.mp4 |
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| 60 - RASA project Structure.mp4 |
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| 61 |
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| 61 - RASA Files.mp4 |
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| 62 |
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| 62 - Basics of YAML.mp4 |
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| 63 |
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| 63 - Building the chatbot Add intents and Response.mp4 |
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| 64 - Building the chatbot Extract Entity working with Slots.mp4 |
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| 65 |
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| 65 - Create API Key from NyTimes.mp4 |
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| 66 |
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| 66 - Working with Action File Demo.mp4 |
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| 67 |
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| 67 - Building Custom Action File.mp4 |
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| 68 |
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| 68 - Test the Action Server.mp4 |
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| 69 - RASA Pipeline file.mp4 |
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| 6 - Data Extraction and Text Cleaning hands On.mp4 |
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| 6 - PNLP-S02V02-bookscraper.zip |
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| 70 - RASA Deployment Integration with RASA Chatbot Prerequisites.mp4 |
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| 71 - Run Ngork on RASA Chatbot with Actions.mp4 |
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| 72 |
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| 72 - Slack Settings for Connection to RASA Chatbot.mp4 |
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| 73 |
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| 73 - Practice Project Concert Chatbot Summary.mp4 |
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| 74 |
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| 74 - Text Summarization Introduction.mp4 |
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| 75 - Hands On Text Summarization.mp4 |
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| 76 - Importance of Social Media Platforms.mp4 |
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| 77 |
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| 77 - Setting Up Twitter Developer Account.mp4 |
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| 78 - Introduction to Tweepy.mp4 |
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| 79 |
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| 79 - Hands On Implementation of Project.mp4 |
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| 7 - Introduction to NLTK library.mp4 |
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| 80 - NLP Transformers Introduction.mp4 |
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| 81 - Feed Forward Neural Network and Challenges.mp4 |
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| 82 - RNN Recurrent Neural Networks.mp4 |
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| 83 - LSTM Long Short Term Memory Networks.mp4 |
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| 84 - Attention Mechanism Attention is all you Need.mp4 |
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| 85 - Transfer Learning.mp4 |
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| 86 - Transformer Architecture Overview.mp4 |
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| 87 - Additional Video on Transformers.mp4 |
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| 88 |
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| 88 - Introduction to Hugging Face Library.mp4 |
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| 89 - Working with Hugging Face Library Pipeline.mp4 |
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| 8 - Tokenization bigrams trigrams and N gram Hands on.mp4 |
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| 90 - Text Classification with HuggingFace Transformers Data Loading.mp4 |
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| 91 - Tokenization using Huggingface.mp4 |
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| 92 - Tokenization on Dataset.mp4 |
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| 93 |
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| 93 - Text Classification with Feature Extraction.mp4 |
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| 94 - Finetuning on Transformers.mp4 |
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| 95 - Working with ChatGPT3.mp4 |
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| 96 - Working of BERT Language Model.mp4 |
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| 9 - PNLP-S02V04-V07-NKTK-Hands-On.ipynb |
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| 9 - POS Tagging Stop Words Removal.mp4 |
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| TutsNode.net.txt |
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