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Stephen Curry NBA Statistics
Explorative Data Analysis on Steph Curry NBA Stats
Statistical Learning on Pokémon
Regression and classification methods to estimate catch rate and legendary
Nintendo sales analysis
Univariate time series analysis, done with Eviews and R.
Econometrics - Part 1
Univariate linear regression model: hypothesis and parameters' estimation
Bootstrap and Jacknife
All credits to prof. Gianna Monti
Monte Carlo Simulation Methods
All credits to prof. Gianna Monti
Random Sampling from (almost) any distribution
All credits to prof. Gianna Monti
Generare numeri pseudo-casuali
All credits to prof. Gianna Monti
Ridge, Lasso & Best Subset Selection
Lesson 6 of Data Mining course, taught by prof.Aldo Solari. All credits to him.
Ridge regression
Lesson 5 of Data Mining course, taught by prof.Aldo Solari. All credits to him.
kNN and CARET package
Lesson 4 of Data Mining course, taught by prof.Aldo Solari. All credits to him.
Cross Validation
Lesson 3 of Data Mining course, taught by prof.Aldo Solari. All credits to him.
Optimism and Information Criteria
Lesson 2 of Data Mining course, taught by prof.Aldo Solari. All credits to him.
Bias-variance decomposition
Lesson 1 of Data Mining course, taught by prof.Aldo Solari. All credits to him.
Stat 101
Descriptive statistics on categorical, ordinal and numerical data.
Univariate and bivariate descriptive analysis.