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دسته بندی دوره ها

Practical Natural Language Processing – Go from Zero to Hero

سرفصل های دوره

Learn Natural Language Processing (NLP) Creating Chatbot ,RASA, ChatGPT , BERT, Transformers, ChatGPT3, Open AI GPT


1 - Introduction to Natural Language Processing
  • 1 - Knowledge Test of Basics.html
  • 1 - Why NLP and how its different from Normal ML
  • 2 - Understanding Human Language
  • 3 - Challenges of NLP
  • 4 - Summary

  • 2 - Pipeline of NLP
  • 5 - NLP Pipeline
  • 6 - Data Extraction and Text Cleaning hands On
  • 6 - PNLP-S02V02-bookscraper.zip
  • 7 - Introduction to NLTK library
  • 8 - Tokenization bigrams trigrams and N gram Hands on
  • 9 - POS Tagging Stop Words Removal
  • 9 - pnlp-s02v04-v07-nktk-hands-on.zip
  • 10 - Stemming Lemmatization
  • 10 - pnlp-s02v04-v07-nktk-hands-on.zip
  • 11 - NER and Wordsense Disambiguation
  • 11 - pnlp-s02v04-v07-nktk-hands-on.zip
  • 12 - Introduction to Spacy Library
  • 13 - Hands On Spacy
  • 13 - pnlp-s02v09-hands-on-spacy.zip
  • 14 - Summary

  • 3 - NLP Text Vectorization
  • 15 - Vector Representation of Text One Hot Encoding
  • 15 - pnlp-s03v01-one-hot-encoding-demo.zip
  • 16 - Understanding BoW Technique
  • 17 - BoW Hands On
  • 17 - pnlp-s03v03-bow-hands-on.zip
  • 18 - TFIDF
  • 19 - TFIDF Hands On
  • 19 - pnlp-s03v05-tf-idf-hands-on.zip

  • 4 - Word Embeddings
  • 20 - Introduction to Word Embeddings
  • 21 - Intuition of Vector Representation
  • 22 - Hands On Word Embeddings Usage of Pretrained models
  • 22 - pnlp-s03v07-hands-on-word-embedding-model-pretrained.zip
  • 23 - Skipgram Word Embeddings Understanding Data Preperation
  • 24 - Skip Gram Model Architecture
  • 25 - Skip Gram Hands On Deep Dive
  • 25 - pnlp-s03v10-skipgram-implementation-with-gensim.zip
  • 26 - CBOW Model Architecture Hands On
  • 26 - pnlp-s03v11-cbow-implementation-with-gensim.zip
  • 27 - Hyperparameters Negative Sampling and Sub Sampling
  • 28 - Practical Difference between CBOW and Skipgram
  • 29 - Bonus How does a Network is trained Backpropagation
  • 30 - Section Summary

  • 5 - End to End Pipeline for Text Classification
  • 31 - General Pipeline for Classification
  • 32 - Approaches to Classification
  • 33 - Loading the Dataset
  • 34 - Exploratory Data Analysis Text Preprocessing
  • 35 - Remove Low Frequency Words
  • 36 - Remove Stop Words with Stemming Lemmatisation
  • 37 - Application of Model
  • 38 - TfIDF Approach
  • 39 - Challenges of NLP Ngrams

  • 6 - Information Extraction
  • 40 - Introduction to NER
  • 41 - Understanding CRF Introduction

  • 7 - Chatbots Build with Google Cloud Service Dialogflow
  • 42 - Understanding Chatbots
  • 43 - Building a Simple Chatbot
  • 44 - Hands On Building a Simple FAQ Chatbot
  • 45 - Types of Chatbot and Pipeline for Chatbot
  • 46 - Terminologies in Chatbot
  • 47 - Dialog flow Introduction
  • 48 - Basics of Dialogflow
  • 49 - Dialogflow system setup
  • 50 - Create Dialogflow chatbot
  • 51 - Dialogflow Fulfilment
  • 52 - Dialogflow IntegrationsDeployment
  • 53 - Dialogflow Miscellaneous Tools

  • 8 - Deep Dive into the Dialog Systems Chatbot
  • 54 - Deep Dive into the components of Dialog System
  • 55 - Dialog Intent Prediction
  • 56 - Deep Learning based intent Classification

  • 9 - Project Build Chatbot using RASA
  • 57 - Project Files for RASA.html
  • 57 - rasa-demo.zip
  • 58 - Introduction to RASA Chatbot
  • 59 - Installation of RASA
  • 60 - RASA project Structure
  • 61 - RASA Files
  • 62 - Basics of YAML
  • 63 - Building the chatbot Add intents and Response
  • 64 - Building the chatbot Extract Entity working with Slots
  • 65 - Create API Key from NyTimes
  • 66 - Working with Action File Demo
  • 67 - Building Custom Action File
  • 68 - Test the Action Server
  • 69 - RASA Pipeline file
  • 70 - RASA Deployment Integration with RASA Chatbot Prerequisites
  • 71 - Run Ngork on RASA Chatbot with Actions
  • 72 - Slack Settings for Connection to RASA Chatbot
  • 73 - Practice Project Concert Chatbot Summary

  • 10 - Text Summarization
  • 74 - Text Summarization Introduction
  • 75 - Hands On Text Summarization

  • 11 - NLP Project Analyze Tweets from Twitter
  • 76 - Importance of Social Media Platforms
  • 77 - Setting Up Twitter Developer Account
  • 78 - Introduction to Tweepy
  • 79 - Hands On Implementation of Project

  • 12 - Section 11 Introduction to Transformers
  • 80 - NLP Transformers Introduction
  • 81 - Feed Forward Neural Network and Challenges
  • 82 - RNN Recurrent Neural Networks
  • 83 - LSTM Long Short Term Memory Networks
  • 84 - Attention Mechanism Attention is all you Need
  • 85 - Transfer Learning
  • 86 - Transformer Architecture Overview
  • 87 - Additional Video on Transformers

  • 13 - Working with Hugging Face Library
  • 88 - Introduction to Hugging Face Library
  • 89 - Working with Hugging Face Library Pipeline
  • 90 - Text Classification with HuggingFace Transformers Data Loading
  • 91 - Tokenization using Huggingface
  • 92 - Tokenization on Dataset
  • 93 - Text Classification with Feature Extraction
  • 94 - Finetuning on Transformers

  • 14 - ChatGPT3
  • 95 - Working with ChatGPT3

  • 15 - Section 14 Advanced NLP Models BERT
  • 96 - Working of BERT Language Model
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    شناسه: 8124
    حجم: 8050 مگابایت
    مدت زمان: 1200 دقیقه
    تاریخ انتشار: ۷ فروردین ۱۴۰۲
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