Summary

Why NLP and how its different from Normal ML

Challenges of NLP

Understanding Human Language

Introduction to NLTK library

Tokenization , bigrams, trigrams, and N gram - Hands on

NLP Pipeline

POS Tagging & Stop Words Removal

Data Extraction and Text Cleaning hands On

Introduction to Spacy Library

Stemming & Lemmatization

Summary

NER and Wordsense Disambiguation

Hands On Spacy

Understanding BoW Technique

Vector Representation of Text - One Hot Encoding

TF-IDF

BoW Hands On

TF-IDF Hands On

Tf-idf from Scratch Implementation

Introduction to Word Embeddings

Skip-gram Word Embeddings - Understanding Data Preperation

Intuition of Vector Representation

Skip Gram Model Architecture

Hands On Word Embeddings - Usage of Pre-trained models

CBOW Model Architecture & Hands On

Practical Difference between CBOW and Skip-gram

Hyperparameters - Negative Sampling and Sub Sampling

Section Summary

Skip Gram Hands On - Deep Dive

Bonus How does a Network is trained - Back-propagation

Approaches to Classification

General Pipeline for Classification

Loading the Dataset

Exploratory Data Analysis & Text Preprocessing

Remove Stop Words with Stemming & Lemmatisation

Application of Model

TfIDF Approach

Challenges of NLP & N-grams

Introduction to NER

Understanding CRF - Introduction

Building a Simple Chatbot

Understanding Chatbots

Types of Chatbot and Pipeline for Chatbot

Terminologies in Chatbot

Dialog flow - Introduction

Hands On Building a Simple FAQ Chatbot

Dialogflow Fulfilment

Basics of Dialogflow

Dialogflow system setup

Dialogflow IntegrationsDeployment

Dialogflow Miscellaneous Tools

Create Dialogflow chatbot

Dialog Intent Prediction

Deep Dive into the components of Dialog System

Deep Learning based intent Classification

Introduction to RASA Chatbot

Installation of RASA

RASA project Structure

RASA Files

Basics of YAML

Create API Key from NyTimes

Building the chatbot - Add intents and Response

Building the chatbot - Extract Entity & working with Slots

Building Custom Action File

Working with Action File - Demo

Test the Action Server

RASA Deployment - Integration with RASA Chatbot - Pre-requisites

RASA Pipeline file

Run Ngork on RASA Chatbot with Actions

Practice Project Concert Chatbot & Summary

Slack Settings for Connection to RASA Chatbot

Text Summarization - Introduction

Hands On Text Summarization

Importance of Social Media Platforms

Setting Up Twitter Developer Account

Introduction to Tweepy

Hands On Implementation of Project

NLP Transformers - Introduction

LSTM - Long Short Term Memory Networks

RNN - Recurrent Neural Networks

Feed Forward Neural Network and Challenges

Attention Mechanism - Attention is all you Need

Transformer Architecture Overview

Transfer Learning

Additional Video on Transformers

Deep Dive into Attention Layers

Introduction to Hugging Face Library

Working with Hugging Face Library Pipeline

Tokenization using Huggingface

Text Classification with HuggingFace Transformers - Data Loading

Finetuning on Transformers

Tokenization on Dataset

Text Classification with Feature Extraction

Working with ChatGPT-3

Working of BERT Language Model

Installation of Anaconda

Machine Learning Model Deployment Model Prep

Deploy as Flask App

Introducing MLOps

StreamLit Deployment

Bonus Introduction to Enterprise MLOps

Introducing Prompt Engineering and Generative AI ChatGPT