Natural Language Processing with Python
Natural Language Processing with Python, available at $19.99, has an average rating of 4.17, with 26 lectures, 3 quizzes, based on 6 reviews, and has 69 subscribers.
You will learn about 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 This course is ideal for individuals who are Beginners who want to learn about Natural Language Processing in a practical way from an experienced professional or Beginner python developers who are curious to learn about natural language processing It is particularly useful for Beginners who want to learn about Natural Language Processing in a practical way from an experienced professional or Beginner python developers who are curious to learn about natural language processing.
Enroll now: Natural Language Processing with Python
Summary
Title: Natural Language Processing with Python
Price: $19.99
Average Rating: 4.17
Number of Lectures: 26
Number of Quizzes: 3
Number of Published Lectures: 25
Number of Published Quizzes: 3
Number of Curriculum Items: 29
Number of Published Curriculum Objects: 28
Original Price: ₹799
Quality Status: approved
Status: Live
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
Who Should Attend
- 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
Target Audiences
- 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
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
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In this video course you will learn the following about Natural Language Processing:
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Introduction to NLP
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Its Applications in domains like finance and healthcare
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Stemming and Lemmatimzation with NLTK and spaCy
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TF-IDF, Bag of Words Representation
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Named Entity Recognition with spaCy in python
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Custom Named Entity Recognition using spaCy v3 library
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Word2Vec model and custom word2vec model in python
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Exploratory data analysis on text dataset using python
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Text Clustering
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Text Classification with Neural network using Tensorflow in Python
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Text Classification with Convolutional Neural Network( CNN) using Tensorflow in Python
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Text Classification with Long Short Term memory( LSTM) networks using Tensorflow in Python
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Text Classification using PyTorch library
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Text Classification using BERT Transformers
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Text Classification using spaCy v3 library
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Zero shot text classification using HuggingFace
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LDA topic modelling
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Top2Vec Topic Modelling
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BERTopic Topic Modelling
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Extractive Text Summarization using gensim and python
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Abstractive Text Summarization using Google PEGASUS
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Extractive Question Answering with HuggingFace
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Aspect Based Sentiment Analysis
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HayStack Question Answering Demo
For advanced NLP content check out my Youtube Channel
Course Curriculum
Chapter 1: Introduction to Natural Language Processing and applications in various domains
Lecture 1: Introduction to Natural Language Processing
Lecture 2: Natural Language Processing in Finance Domain
Lecture 3: Natural Language Processing in Healthcare Domain
Chapter 2: Basics of Natural Language Processing
Lecture 1: Stemming and Lemmatization
Lecture 2: tf-idf, Bag of Words , Cosine Distance Similarity
Lecture 3: Exploratory Data Analysis on Text Dataset
Chapter 3: Named Entity Recognition
Lecture 1: Named Entity Recognition
Lecture 2: Custom Named Entity Recognition with spaCyv3
Chapter 4: Text Clustering and Classification
Lecture 1: Text Clustering on Covid-19 Literature Survey Data
Lecture 2: Word2Vec Detailed Explanation and Train your custom Word2Vec Model using genism
Lecture 3: Text Classification with Neural Network using TensorFlow in Python
Lecture 4: Text Classification with Convolutional Neural Network using TensorFlow in Python
Lecture 5: Text Classification with LSTM Neural Network using TensorFlow in Python
Lecture 6: Text Classification with BERT
Lecture 7: Text Classification with spaCy V3
Lecture 8: PyTorch Text Classification
Lecture 9: Zero Shot Text Classification with HuggingFace
Chapter 5: Topic Modelling Techniques
Lecture 1: LDA Topic Modelling
Lecture 2: Top2Vec
Lecture 3: BERTopic
Chapter 6: Text Summarization, Extractive Question Answering
Lecture 1: Text Summarization
Lecture 2: Abstractive Text Summarization
Lecture 3: HayStack Search Demo
Lecture 4: Extractive Question Answering HuggingFace Demo
Lecture 5: Aspect Based Sentiment Analysis
Instructors
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Rithesh Sreenivasan
Machine Learning and AI Consultant, Educator , NLP Expert
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 1 votes
- 3 stars: 0 votes
- 4 stars: 2 votes
- 5 stars: 3 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
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