Machine learning instruction provides strong practical foundations, but deep learning modules lack sufficient coding-based exercises.
Strengths
Algorithmic Breadth
Covers a wide range of supervised and unsupervised algorithms, including Linear Regression, Decision Trees, and K-Means Clustering.
Instructional Clarity
Visual explanations of algorithms help make complex concepts easier to digest for beginners.









