Day126 - STAT Review: Revisiting Mathematics Theories (2)
Mathematical Principles: Inference for Variance, Chi-Squared Distribution, F-Statistics, and Inference on Proportions (Wald & Wilson)
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Day125 - STAT Review: Revisiting Mathematics Theories (1)
Mathematical Principles: Hypothesis Testing, Paired Samples, Independent Samples, and additional concepts.
Day124 - STAT Review: Regression and Prediction (6)
Practical Statistics for Data Scientists: Partial Residual Plots and Nonlinearity, Polynomial & Spline Regression, and Generalized Additive Models
Day123 - STAT Review: Regression and Prediction (5)
Practical Statistics for Data Scientists: Regression Diagnostics- Outliers, Influential Observations, and Heteroskedasticity
Day122 - STAT Review: Regression and Prediction (4)
Practical Statistics for Data Scientists: Interpreting the Regression Equation - Correlation, Multicollinearity, Confounding Variables, and Interactions
Day121 - STAT Review: Regression and Prediction (3)
Practical Statistics for Data Scientists: Factor Variables in Regression, Dummy Variables, Many Levels, and Ordered Factor Variables
Day120 - STAT Review: Regression and Prediction (2)
Practical Statistics for Data Scientists: Assessing the Model, Cross Validation, Model Selection, and Prediction Using Regression
Day119 - STAT Review: Regression and Prediction (1)
Practical Statistics for Data Scientists: Simple Linear Regression, Least Squares, and Multiple Linear Regression
Day118 - STAT Review: Statistical Experiments and Significance Testing (5)
Practical Statistics for Data Scientists: Chi-Square Theories, Fisher’s Exact Test, Multi-Arm Bandit Algorithm, and Power & Sample Size
Day117 - STAT Review: Statistical Experiments and Significance Testing (4)
Practical Statistics for Data Scientists: ANOVA(One & Two-Way), F-statistic, and Chi-Square Test