Machine Learning Models in Python
Applied introduction to building predictive, machine-learning models for real-world problems; learning Python computing environment, basic data analysis, management; data visualization and reporting using machine learning methods, including k-nearest neighbor, linear models, naïve Bayesian models, decision trees, random forests, and neural networks. Sample data sets from across industry professions.
Data Science and Analytics Interdisciplinary Unit, "DSA601" (2019). Curriculum Proposals. 696.