Editorial course preview
What the public course preview actually shows
These 3 complementary views highlight concrete, legible examples from the course presentation.
This slide outlines the initial curriculum structure with a numbered list covering foundational concepts such as supervised learning, deep learning examples, and software installation.
This syllabus page lists advanced machine learning topics such as linear regression, R2 calculation, entropy, confusion matrices, and logistic regression for predictive analytics.
This slide outlines key machine learning skills such as performing regression, using algorithms like Decision Trees and SVMs, optimizing models, and handling data with One-Hot Encoding.
