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Data Mining HW4 Supervised Learning Part 1
GR Data Mining for Social Science
Data Mining Midterm
GR5058 Data Mining for the Social Science Midterm
HW 3: Unsupervised Learning Practice
GR5058 Data Mining for the Social Science HW3
HW 2: Exploratory Data Analysis in R
GR5058 Data Mining for the Social Science HW2
HW 1: Data Preprocessing with R
GR5058 Data Mining for the Social Science HW1
Gamma Distribution, F distribution and t distribution
Statistical Inference: Gamma (two plots), F (two parameters: two plots) and t(one paramter: one plot) when changing the parameter. How mean, variance, skewness, excess kurtosis change.
Normal Distribution and Poisson Distribution GIF
Statistical Inference: Normal Distribution When changing standard deviation and Poisson Distribution when changing lambda
Power Curve
Statistical Inference