Learn Complete NLP with Project (Bag of Words, Tf-idf) | For Beginners

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-con... Notes - https://drive.google.com/file/d/1tK_Z... 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. Don’t forget to like, comment, and subscribe for more machine learning and AI content!