·AI & Machine Learning
Module 7 Lesson 1: What is Artificial Intelligence?
Demystifying the hype. Learn what AI actually is, the difference between Rule-Based systems and Learning systems, and why Python is the driving force of the AI revolution.
AI & Machine Learning
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·AI & Machine Learning
Module 7 Lesson 10: The Future of Python and AI
The journey is just beginning. Explore the cutting-edge trends in Large Language Models (LLMs), Generative AI, and how Python continues to evolve as the heart of tech.
·AI & Machine Learning
Module 7 Lesson 2: Machine Learning Basics (Supervised vs. Unsupervised)
How computers learn. Explore the two main pillars of machine learning: learning with a teacher (Supervised) and finding patterns on your own (Unsupervised).
·AI & Machine Learning
Module 7 Lesson 3: Scikit-Learn: The ML Toolkit
Meet your AI engine. Learn the consistent interface of Scikit-Learn and master the four patterns: Import, Instantiate, Fit, and Predict.
·AI & Machine Learning
Module 7 Lesson 4: Linear Regression: Predicting Numbers
Your first predictive model. Learn how to use Linear Regression to find the 'Line of Best Fit' and predict numerical values like prices and temperatures.
·AI & Machine Learning
Module 7 Lesson 5: Logistic Regression: Classification
Binary decisions made simple. Learn how to use Logistic Regression to categorize data into 'Yes or No' classes like Spam vs. No Spam or Pass vs. Fail.
·AI & Machine Learning
Module 7 Lesson 6: Decision Trees and Random Forests
Branching out into AI logic. Learn how Decision Trees make choices like a human and how 'Random Forests' combine a hundred trees to create a genius-level model.
·AI & Machine Learning
Module 7 Lesson 7: Evaluating Models (Accuracy, Precision, Recall)
Is your AI actually good? Learn how to look beyond 'Accuracy' and understand 'Precision' and 'Recall' to ensure your model isn't missing critical patterns.
·AI & Machine Learning
Module 7 Lesson 8: Building a Spam Filter Project
AI in action. Build a fully functional SMS/Email spam filter using the Naive Bayes algorithm and learn how computers process human language.
·AI & Machine Learning
Module 7 Lesson 9: Real-world AI: Ethics and Bias
With great power comes great responsibility. Explore the vital topics of algorithmic bias, data privacy, and the ethical dilemmas facing AI developers today.
·AI & Machine Learning
Module 7 Lesson 11: Hands-on Projects
Apply your AI skills. Build a Real Estate Price Predictor, a Customer Segmenter, or a Sentiment Analysis tool using Scikit-Learn.