Day121 - STAT Review: Regression and Prediction (3)
Practical Statistics for Data Scientists: Factor Variables in Regression, Dummy Variables, Many Levels, and Ordered Factor Variables
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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
Day116 - STAT Review: Statistical Experiments and Significance Testing (3)
Practical Statistics for Data Scientists: t-Tests, Multiple Testing, False Discovery, and Degrees of Freedom
Day115 - STAT Review: Statistical Experiments and Significance Testing (2)
Practical Statistics for Data Scientists: p-Values, Practical Applications, and Type I & Type II Errors
Day114 - STAT Review: Statistical Experiments and Significance Testing (1)
Practical Statistics for Data Scientists: A/B Testing, Hypothesis Tests (One-Way & Two-Way), and Permutation Test
Day113 - STAT Review: Data & Sampling Distributions (3)
Practical Statistics for Data Scientists: t-Dist, Binomial, Chi-Square, F-Dist, and Poisson Distribution.
Day112 - STAT Review: Data & Sampling Distributions (2)
Practical Statistics for Data Scientists: Bootstrap, Confidence Intervals, and Normal Distribution