Practical ML from linear regression to deep neural networks.
Understand supervised and unsupervised learning
Implement linear regression and classification algorithms
Build decision trees and random forest models
Apply clustering with K-Means and hierarchical methods
Evaluate models with cross-validation and metrics
Tune hyperparameters for optimal performance
Understand neural networks and backpropagation
Deploy ML models to production with Flask API
24.0 hours on-demand video
8 articles & resources
Full lifetime access
Mobile & desktop access
Certificate of completion