| Duration: 9h 22m
Beginner-Friendly AI & Machine Learning: Create a Python Chatbot Using Bag of Words, Naive Bayes, and GUI Tools
What you'll learn
Scrape and clean real-world text data using Python, Pandas, and NumPy.
Convert text into features using the Bag of Words model and basic NLP techniques
Build rule-based and AI-powered chatbots using Python and a Naive Bayes classifier
Create a GUI chatbot app using Gradio for a user-friendly interface
Requirements
Students should have a basic understanding of Python, including variables, loops, functions, and conditionals. No software installation is needed—we'll be using Google Colab for all coding. No prior experience with AI or machine learning is required, just a curiosity to learn and build chatbots!
Description
Unlock the Power of AI & Python — Build Your Own Machine Learning Chatbot from Scratch!Curious how basic Machine Learning chatbots understand human language? Want to learn AI and Machine Learning by building a real project—without needing advanced math or complicated theory?This beginner-friendly, project-based course is the perfect starting point!What You'll BuildYou will learn step-by-step how to create a fully functional AI chatbot using Python. We start simple and gradually move toward real machine learning:Step 1 — Build a rule-based chatbotUse Python basics like variables, lists, dictionaries, conditions, and loopsUnderstand how simple chatbots match user inputsCreate multiple versions and improve them step by stepStep 2 — Add real AI using Machine LearningScrape and clean text dataApply Bag of Words for text vectorizationTrain a Naive Bayes classifier to make predictionsBuild an ML pipeline that understands user intentStep 3 — Create a simple GUIUse Gradio to wrap your chatbot in a friendly, interactive interfaceRun your AI app in the browserShare your chatbot easily with othersTools & Technologies You'll LearnWe use Google Colab, so there's nothing to install. Just open your browser and start coding.You'll get hands-on experience with:PythonPandasNumPyScikit-learnBeautifulSoup (for data scraping)Gradio (for GUI)Machine Learning fundamentalsPerfect for anyone exploring AI, NLP, machine learning, data science, or Python applications.Why This Course Is Perfect for BeginnersNo AI or ML background neededNo complex mathNo software installationLearn by building, not memorizingClear explanations and real-world examplesWhether you're a student, beginner programmer, hobbyist, or future AI engineer, this course builds the right foundation to move into more advanced AI and ML topics.By the end of this course, you will be able to:Understand how rule-based and ML-based chatbots workClean and prepare real text dataApply Bag of Words and Naive BayesBuild a machine learning model for text classificationDeploy an AI chatbot with an interactive UIThink like an AI developer and start your journey in MLJoin today and start building your first AI-powered chatbot with Python!No prior experience. No installations. Just hands-on learning and real results.
This course is ideal for anyone with basic Python experience who wants to explore the fundamentals of artificial intelligence. Whether you're a middle or high school student, a beginner coder, or a curious learner, you'll gain hands-on experience building chatbots while learning core AI concepts in a fun and practical way—no advanced math or prior AI knowledge needed.


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