
AI & Machine Learning for Beginners: Build a Python Chatbot
Published 11/2025
Duration: 9h 22m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 4.81 GB
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
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 learnAI and Machine Learningby building a real project-without needing advanced math or complicated theory?
What You’ll Build
Step 1 – Build a rule-based chatbot
Understand how simple chatbots match user inputs
Create multiple versions and improve them step by step
Step 2 – Add real AI using Machine Learning
Scrape and clean text data
Apply Bag of Words for text vectorization
Train aNaive Bayes classifierto make predictions
Build an ML pipeline that understands user intent
Step 3 – Create a simple GUI
UseGradioto wrap your chatbot in a friendly, interactive interface
Run your AI app in the browser
Share your chatbot easily with others
Tools & Technologies You’ll Learn
You’ll get hands-on experience with:
Python
Pandas
NumPy
Scikit-learn
BeautifulSoup(for data scraping)
Gradio(for GUI)
Machine Learning fundamentals
Perfect for anyone exploringAI, NLP, machine learning, data science, or Python applications.
Why This Course Is Perfect for Beginners
No AI or ML background needed
No complex math
No software installation
Learn bybuilding, not memorizing
Clear explanations and real-world examples
Whether you’re astudent,beginner programmer,hobbyist, or futureAI 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 work
Clean and prepare real text data
Apply Bag of Words and Naive Bayes
Build a machine learning model for text classification
Deploy an AI chatbot with an interactive UI
Who this course is for:
More Info

RapidGator
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NitroFlare
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DDownload
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