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Mastering Natural Language Processing with Python
Rating: 4.3 out of 5(4 ratings)
11 students

Mastering Natural Language Processing with Python

Question Answering, Topic Modeling, LDA, Text Summarization, Machine Translation, Information Extraction, Chatbot App
Created byMG Analytics
Last updated 3/2026
English

What you'll learn

  • NATURAL LANGUAGE PROCESSING
  • TEXT File processing
  • LARGE LANGUAGE MODEL
  • Test based Deep Learning
  • RNN, LSTM , GAN
  • Text Classification
  • Sentiment Analysis
  • Chatbots
  • Fine Tuning
  • Question Answering
  • Quick Chatbot using LLMs
  • Chatbot App Tools
  • Information Extraction
  • Machine Translation
  • Text Summarization
  • LDA
  • Topic Modeling
  • GENSIM
  • SPACY
  • TEXT PROCESSING

Course content

7 sections46 lectures19h 33m total length
  • Introduction20:25
  • Text Preprocessing Steps18:30
  • Read Write Text Files31:00
  • Read Write CSV18:17

Requirements

  • PYTHON

Description

In today's data-driven world, the ability to process and understand natural language is a valuable skill. This comprehensive course is designed to equip you with the knowledge and tools to master the field of Natural Language Processing (NLP) using Deep Learning techniques.

Course Objectives

  • Gain a solid understanding of the fundamentals of NLP and its applications.

  • Learn essential text preprocessing techniques for preparing data for ML tasks.

  • Master the art of text classification, including sentiment analysis and named entity recognition.

  • Explore the theory and practical implementation of neural networks for NLP tasks.

  • Dive deep into deep learning architectures like Recurrent Neural Networks (RNNs) and Transformers.

  • Build real-world NLP applications, such as question-answering systems, topic modeling, and text summarization.

  • Understand the principles of generative AI and its applications in NLP.

Why Choose This Course?

  • Comprehensive Coverage: This course covers a wide range of NLP topics, from foundational concepts to advanced techniques.

  • Hands-On Learning: Engage in numerous practical projects to reinforce your understanding and build a strong portfolio.

  • Expert Guidance: Learn from experienced instructors with deep expertise in NLP and Deep Learning.

  • Career Advancement: NLP skills are highly sought after in various industries, including tech, finance, and healthcare.

Enroll today and embark on a journey to become a NLP Expert!

Who this course is for:

  • Beginner ML practitioners eager to learn NLP
  • Python Developers
  • Data Scientists