In this project, I explored ensemble machine learning techniques — specifically Random Forest and AdaBoost — to improve predictive performance on a real-world bank marketing dataset. The dataset, which reflects outreach efforts in a public-facing campaign, was repurposed to simulate health outreach targeting and campaign conversion.

Plot genotype per NIL. Characterize linkage disequilibrium between the Inv4m chromosomal inversion and genome-wide markers in maize near-isogenic lines.

proyecto formativo

HW 10

Control1