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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تولید کننده: Udemy-Training