AI Integration in Everyday Software

Explore the different types of machine learning algorithms including supervised, unsupervised, reinforcement, and semi-supervised learning. Learn their core concepts, real-world applications, popular algorithms, and widely used machine learning frameworks powering modern AI systems.

Explore the fundamentals of supervised learning in machine learning through practical Python implementations of Logistic Regression, Decision Trees, K-Nearest Neighbors (KNN), and Support Vector Machines (SVM). Learn how these algorithms classify data, visualize decision boundaries, and understand how supervised models learn patterns from labeled datasets.