11 articles
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.
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.
How computers learn. Explore the two main pillars of machine learning: learning with a teacher (Supervised) and finding patterns on your own (Unsupervised).
Meet your AI engine. Learn the consistent interface of Scikit-Learn and master the four patterns: Import, Instantiate, Fit, and Predict.
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.
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.
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.
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 in action. Build a fully functional SMS/Email spam filter using the Naive Bayes algorithm and learn how computers process human language.
With great power comes great responsibility. Explore the vital topics of algorithmic bias, data privacy, and the ethical dilemmas facing AI developers today.
Apply your AI skills. Build a Real Estate Price Predictor, a Customer Segmenter, or a Sentiment Analysis tool using Scikit-Learn.