Instructor - Akarsh Vyas
In this video, we dive deep into Natural Language Processing (NLP) using Machine Learning – without touching deep learning!

Code and Data: https://github.com/AkarshVyas/NLP-content

Notes - https://drive.google.com/file/d/1tK_Za6gwhuf5FkIg-5kcQsnA09aS0k5y/view?usp=sharing

You’ll learn:

What is NLP and why it's important

Real-world applications of NLP

Full text preprocessing pipeline

Lowercasing, punctuation removal, emoji & stopword removal

Difference between TF-IDF and Bag of Words

Common ML techniques used in NLP

Hands-on Emotion Detection Project from scratch

Tools & Libraries used:

Python

Pandas, NLTK for text preprocessing

Scikit-learn for ML models (Naive Bayes, Logistic Regression)

CountVectorizer, TfidfVectorizer

Whether you're a beginner or a data science enthusiast, this video will teach you how to process text and build powerful ML models using simple NLP techniques.

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