Machine Learning, Artificial Intelligence, Software Engineering, Data Engineering, Programming.
alongside the book as a companion, covers essential tools for data science and statistical modeling. Key areas covered in this course include: Linear regression Classification Resampling Linear model selection Tree-based methods Unsupervised learning Deep learning By working through this course,