Here are links to some of my projects, homework, exams, etc. I have also included some keywords with the concepts covered in each document. As time permits I will start editing some of them in order to be true blog posts, but for the moment they are not.
Predictive Analytics exam
Regression, Ridge, LASSO, elastic net, prediction MSE, logistic regression, log loss, cross validation, missing data
Forecasting with ARIMA model in R
Time series, ACF, PACF, ARIMA, seasonality, forecasting, variance stabilization transformation, differencing
Non-parametric Statistics exam
Kruskal-Wallis, loess, CART, bootstrap, PCA, hierarchical clustering, cluster dendrogram, k-means clustering
Generalized Additive Models, concurvity, interaction, quantile GAM