ML Topics
Linear Regression
Use past data to estimate future outcomes. From predicting house prices to analyzing market trends, this method helps you find patterns that matter.
Logistic Regression
Learn how this powerful classification algorithm predicts binary outcomes using a sigmoid function. Logistic regression helps model probabilities and make decisions in areas like spam detection and medical diagnosis.
K-Nearest Neighbours
Discover how KNN classifies data by comparing similarity. It looks at the closest examples and lets them vote on what new data should be — no training required. Great for recommendation systems and pattern recognition.
Convolutional Neural Networks
Recognize patterns in images and video by mimicking how the visual cortex works. CNNs power everything from facial recognition to medical imaging.
Random Forest
Build multiple decision trees and combine their results for better accuracy. Random Forests offer strong performance on complex data with minimal tuning.
Clustering
Reveal hidden groups in your data without any labels. Whether you're exploring behavior patterns or discovering naturally occurring clusters, clustering helps uncover structure and meaning.
Transformers
Work with models that handle sequences like language and code more efficiently than ever. Transformers are the foundation of breakthroughs in natural language processing.
Reinforcement Learning
Teach agents to make optimal decisions through trial and error, using reward signals to guide learning. Reinforcement learning drives breakthroughs in game AI, robotics, and adaptive systems.