Analysis of GDP per capita and life expectancy.

LAB1 - SAD - UOC

R Markdown analysis identifying key revenue drivers using Random Forest feature importance and logistic regression. Includes correlation heatmaps, variable importance plots, and styled tables. Built with ggplot2, randomForest, and kableExtra. Synthetic B2B SaaS deal data included.

Simulation of Random Variables: Discrete and Continuous Distributions

Linear Regression Modeling

R Markdown lead scoring model using logistic regression and Random Forest to predict conversion likelihood. Includes ROC curves, feature importance ranking, and score-tiering logic. Built with ggplot2, randomForest, and kableExtra. Synthetic lead data included.