Build Python AI Text Classifier Full Guide | Identify Bad Messages Automatically скачать в хорошем качестве

Build Python AI Text Classifier Full Guide | Identify Bad Messages Automatically

In this video, you’ll build a Python AI text classifier from scratch that can automatically identify bad messages such as negative, toxic, or unwanted text. This is a full, step-by-step guide where every part of the code is explained clearly — no advanced math, no black magic. You’ll learn how real AI systems analyze text and make decisions using machine learning in Python. This project is perfect if you want to: -Learn AI and machine learning with Python -Automatically detect bad or negative messages -Build a real-world AI text classification system -Understand how AI works behind the scenes 🧠 What you’ll learn: -How AI learns from examples -How text is converted into numbers -How to train a machine learning model in Python -How to automatically classify messages -How to test your AI on new text 🛠️ Tools & Technologies: -Python -Scikit-learn -TF-IDF Vectorization -Naive Bayes Machine Learning ⏱️ Timestamps: 00:00 – Introduction 00:13 – Install libraries 00:57 – Text classifier code 06:30 – Final results 06:48 – Final Remarks If this video helps you, like the video, subscribe, and comment if you want a Part 2 where we improve accuracy or turn this into a web app.