When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Udemy logo

Natural Language Processing , LLM with Python

Learn NLP concepts with practical implementation using Python, TensorFlow, PyTorch. Learn about LLMs

     
  • 2
  •  |
  • Reviews ( 11 )
₹559

This Course Includes

  • iconudemy
  • icon2 (11 reviews )
  • icon10h 47m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About Natural Language Processing , LLM with Python

In this course you will be learning about Natural Language Processing (NLP) from an experienced professional. Giving machines the capacity to find meaning in unstructured data pulled from natural language holds notable promise. By 2025, the global NLP market is expected to reach over $34 billion, growing at a CAGR of 21.5% and there would be high demand for NLP skills. In this course I cover length and breadth of topics in NLP. I explain NLP concepts in a simple way along with practical implementation in Python using libraries like NLTK, spaCy, TensorFlow and PyTorch. I also discuss various topics like text pre-processing, text classification, text summarization, topic modelling and word embeddings. I also cover NLP applications in various domains like healthcare, finance. I am sure this course should help you in getting started and also become proficient in NLP

In this video course you will learn the following about Natural Language Processing:

Introduction to NLP

Its Applications in domains like finance and healthcare

Stemming and Lemmatimzation with NLTK and spaCy

TF-IDF, Bag of Words Representation

Named Entity Recognition with spaCy in python

Custom Named Entity Recognition using spaCy v3 library

Word2Vec model and custom word2vec model in python

Exploratory data analysis on text dataset using python

Text Clustering

Text Classification with Neural network using Tensorflow in Python

Text Classification with Convolutional Neural Network( CNN) using Tensorflow in Python

Text Classification with Long Short Term memory( LSTM) networks using Tensorflow in Python

Text Classification using PyTorch library

Text Classification using BERT Transformers

Text Classification using spaCy v3 library

Zero shot text classification using HuggingFace

LDA topic modelling

Top2Vec Topic Modelling

BERTopic Topic Modelling

Extractive Text Summarization using gensim and python

Abstractive Text Summarization using Google PEGASUS

Extractive Question Answering with HuggingFace

Aspect Based Sentiment Analysis

HayStack Question Answering Demo

ChatGPT

ChatGPT use cases

How to fine tune LLMs

RAG

RAG based Chatbots For advanced NLP content check out my Youtube Channel Content will be constantly updated

What You Will Learn?

  • Concepts of Natural Language Processing and its Applications across various domains .
  • Pratical implementation of Natural Language Processing Technqiues using Python, TensorFlow, PyTorch, Transformers, spaCy and gensim libraries .
  • Understand how to approach and solve NLP problems .
  • Understand how to use advanced NLP models like BERT .
  • Understand LLM's and how they can be used for various use cases.