R-Data-science-for-manufacturing-engineering
Statistical principles and methods for data analysis. Principles of Exploratory Data Analysis (EDA - Exploratory Data Analysis). Introduction to the Simple Linear Regression Model. Introduction to the Multiple Linear Regression Model. Introduction to the Poisson Regression Model. Introduction to the Binomial Regression Model. Introduction to the Logistic Regression Model. ROC curve analysis. Introduction to the Log-Linear Regression Model. Introduction to the Multinomial Regression Model. Introduction to the Classification Trees Model (Classification Trees and Random Forests).
