Understand how ML drives innovation across industries.
Clean and prepare datasets for modeling.
Build prediction and classification models.
Learn powerful ensemble methods.
Optimize performance using validation techniques.
Explore clustering and dimensionality reduction.
Learn how neural networks support deep learning.
Apply ML techniques to real projects.
