Natural Language Processing with Python by Rithesh Sreenivasan

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

Basic knowledge of python

Basic knolwedge of machine learning

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 NLPIn this video course you will learn the following about Natural Language Processing:Introduction to NLPIts Applications in domains like finance and healthcareStemming and Lemmatimzation with NLTK and spaCyTF-IDF, Bag of Words RepresentationNamed Entity Recognition with spaCy in pythonCustom Named Entity Recognition using spaCy v3 libraryWord2Vec model and custom word2vec model in pythonExploratory data analysis on text dataset using pythonText ClusteringText 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 libraryText Classification using BERT TransformersText Classification using spaCy v3 libraryZero shot text classification using HuggingFaceLDA topic modellingTop2Vec Topic ModellingBERTopic Topic ModellingExtractive Text Summarization using gensim and pythonAbstractive Text Summarization using Google PEGASUSExtractive Question Answering with HuggingFaceAspect Based Sennt AnalysisHayStack Question Answering DemoFor advanced NLP content check out my Youtube Channel

Bners who want to learn about Natural Language Processing in a practical way from an experienced professional

Bner python developers who are curious to learn about natural language processing

HomePage:

https://www.udemy.com/course/natural-language-processing-basics-to-advanced-course/