Natural Language in Python (Basic to Advance)

Master Natural Language Processing (NLP) in Python — from text basics to advanced AI language models and applications.

What you'll learn
- Build NLP models using popular Python libraries like NLTK, spaCy, and Hugging Face
- Perform real-world NLP tasks — Named Entity Recognition (NER), Sentiment Analysis, and Language Translation
- Get hands-on with transformers and modern AI tools powering today’s chatbots and assistants
- Master text preprocessing: tokenization, stemming, lemmatization, and cleaning

Requirements
- Familiarity with Python programming Language

Description
Have you ever wondered how chatbots talk, how Google Translate works, or how your phone predicts what you’re about to type?Welcome toNatural Language in Python (Basic to Advance)— a complete journey into the world ofNatural Language Processing (NLP)made simple and practical.

In this course, you’ll start by understanding how computers make sense of human language — from the meaning of words to the structure of sentences. Step by step, you’ll learn how to clean, analyze, and transform text data using Python. You’ll explore essential NLP techniques liketokenization, stemming, lemmatization, N-grams, embeddings, and more.

Then we’ll take things to the next level by usingHugging Face Transformersto build modern AI applications — likelanguage translation,sentiment analysis, andnamed entity recognition— all with hands-on examples.

By the end, you’ll not only understand how machines process language but also have the confidence to build your own NLP projects from scratch.

What You’ll Learn

What NLP is and how it helps computers understand human language

The basics of linguistics — syntax, semantics, and morphology

How to clean and prepare text data for analysis

Techniques like Bag of Words, N-grams, and word embeddings

How to explore and visualize text data

Using Hugging Face for real NLP tasks: translation, sentiment analysis, and question answering

Who this course is for:
- Python learners who want to explore real-world applications in AI and NLP
- Data science and machine learning enthusiasts eager to work with text data
- Students and professionals looking to build projects in NLP or AI
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