NLP Pre-Processing in Python | Text Cleaning | Batch 17 | AI & Data Science | Sir Nasir Hussain скачать в хорошем качестве

NLP Pre-Processing in Python | Text Cleaning | Batch 17 | AI & Data Science | Sir Nasir Hussain

Welcome to Batch 17 – NLP Pre-Processing Class of the AI & Data Science Course conducted at Saylani Z.A.I.T Park, led by Sir Nasir Hussain. In this class, we focus on one of the most critical steps in Natural Language Processing (NLP) — Text Pre-Processing. Before any Machine Learning or Deep Learning model can understand text, the raw data must be cleaned, structured, and converted into numerical form. This class builds a strong foundation for tasks like sentiment analysis, spam detection, chatbots, and text classification. 📘 What You Will Learn in This Class What is NLP and why pre-processing is important Understanding raw text vs processed text Text cleaning techniques Lowercasing, punctuation & noise removal Tokenization explained step-by-step Stopwords removal Stemming vs Lemmatization (clear difference) Handling special characters & numbers Converting text into numerical form Bag of Words (BoW) concept TF-IDF explained with intuition Preparing text data for ML models 🎯 Learning Outcomes By the end of this class, you will: ✅ Understand the complete NLP pre-processing pipeline ✅ Be able to clean and prepare text datasets ✅ Convert text into ML-ready numerical features ✅ Build a strong base for NLP & AI projects 👨‍🏫 Course Details Batch: 17 Topic: NLP Pre-Processing Course: AI & Data Science Instructor: Sir Nasir Hussain Institute: Saylani Z.A.I.T Park 📌 Don’t forget to Like, Share, and Subscribe for more hands-on AI & Data Science classes.