Discover the fundamentals of building intelligent systems through data-driven algorithms and pattern recognition.
📘 Start LearningTrain models using labeled datasets where inputs and desired outputs are provided for pattern recognition.
Discover hidden patterns in data without explicit instruction using clustering and association techniques.
Train models through reward-based learning systems that learn by trial and error.
Predict housing prices by training models on historical datasets with housing market features.
Build computer vision models using convolutional neural networks for image recognition tasks.
Start with classical ML algorithms for classification, regression, and clustering with simple Python APIs.
Leverage modern deep learning frameworks for building complex neural network architectures and large-scale models.
Start with our interactive linear regression project and expand your ML knowledge with hands-on experiments.