Intermediate Machine Learning

This course expands on foundational knowledge, focusing on more complex models such as decision trees, random forests, and neural networks. It includes practical projects to apply concepts learned.

Proficiency in Python, basic knowledge of machine learning principles.

Learners will be able to implement and tune machine learning models for better accuracy and performance in their projects.