Assignments and projects for statistical data analysis course.
First-homework - verifing hypotheses and conducting statistical tests. (Python/R)
Second-homework - checking assumptions CLRM for random component - normal distribution, homoscedasticity, linearity, independence. (R)
First-project - statistical analysis - detecting multicollinearity, performing statistical tests, data visualization, linear regression. (R)
Second-project - created efficient model with elastic net regression and random forest for predicting drug action on disease (mean square error less than 2%). (R)
Third-homework - clustering. (R)