Natural Language Processing , LLM with Python

About this course

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 NLPIts Applications in domains like finance and healthcare
• Stemming and Lemmatimzation with NLTK and spaCyTF-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 PythonText Classification with Convolutional Neural Network( CNN) using Tensorflow in PythonText Classification with Long Short Term memory( LSTM) networks using Tensorflow in PythonText Classification using PyTorch library

Text Classification using BERT Transformers

Text Classification using spaCy v3 library

Zero shot text classification using HuggingFace

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