Natural Language Processing with Python

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Rithesh Sreenivasan

7:23:03

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1. Introduction to Natural Language Processing and applications in various domains

1. Introduction to Natural Language Processing.mp4

10:10

2. Natural Language Processing in Finance Domain.mp4

12:45

3. Natural Language Processing in Healthcare Domain.mp4

07:13

4. NLP Introduction Recap.html

2. Basics of Natural Language Processing

1.1 Code.html

1. Stemming and Lemmatization.mp4

17:38

2.1 Code.html

2. tf-idf, Bag of Words , Cosine Distance Similarity.mp4

11:16

3.1 Code.html

3. Exploratory Data Analysis on Text Dataset.mp4

11:23

4. NLP Basics Recap.html

3. Named Entity Recognition

1. Named Entity Recognition.mp4

16:21

2. Custom Named Entity Recognition with spaCyv3.mp4

13:36

4. Text Clustering and Classification

1.1 Code.html

1. Text Clustering on Covid-19 Literature Survey Data.mp4

15:39

2.1 cell_phones_and_accessories_5.zip

2.2 Code.html

2. Word2Vec Detailed Explanation and Train your custom Word2Vec Model using genism.mp4

30:19

3.1 Code.html

3. Text Classification with Neural Network using TensorFlow in Python.mp4

28:16

4.1 Code.html

4. Text Classification with Convolutional Neural Network using TensorFlow in Python.mp4

27:53

5.1 CellPhonesRating.csv

5.2 Code.html

5. Text Classification with LSTM Neural Network using TensorFlow in Python.mp4

27:49

6.1 Code.html

6.2 Kaggle Notebook.html

6. Text Classification with BERT.mp4

22:41

7.1 Code.html

7. Text Classification with spaCy V3.mp4

14:18

8.1 Code.html

8. PyTorch Text Classification.mp4

23:50

9.1 Blog.html

9.2 Code.html

9.3 Textual Entailment.html

9. Zero Shot Text Classification with HuggingFace.mp4

13:49

10. Text classification recap.html

5. Topic Modelling Techniques

1.1 Code.html

1. LDA Topic Modelling.mp4

21:57

2.1 Code.html

2.2 Library.html

2. Top2Vec.mp4

12:30

3.1 Code.html

3.2 Library.html

3. BERTopic.mp4

19:51

6. Text Summarization, Extractive Question Answering

1.1 Code.html

1. Text Summarization.mp4

21:14

2.1 Code.html

2. Abstractive Text Summarization.mp4

25:07

3.1 Collab Demo.html

3. HayStack Search Demo.mp4

10:39

4. Extractive Question Answering HuggingFace Demo.mp4

08:53

5. Aspect Based Sentiment Analysis.mp4

17:56

Description

Learn NLP concepts with practical implementation using Python, TensorFlow, PyTorch, spaCy, gensim

What You'll 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

Who is this for?

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

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

More details

Description
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

For advanced NLP content check out my Youtube Channel

Who this course is for:
Beginners who want to learn about Natural Language Processing in a practical way from an experienced professional
Beginner python developers who are curious to learn about natural language processing

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Researcher with 16 years of proven experience in developing software solutions based on machine learning, natural language processing and deep learning techniques to solve business problems. I have 7 granted US patents and 30 patent filings . I have exposure to wide variety of programming languages, machine learning packages and agile based software development methodologies.Specialties:-Natural language processing-Applied machine learning-Deep learning for natural language processing-Computer Vision -Python-Machine learning libraries like TensorFlow, PyTorch, spaCy, sklearn, HuggingFace..

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