This is a multiple linear regression analysis which seek to investigate how shot-term debt to total assets (SDTA), long-term debt to total assets (LDTA), and dept equity ratio (DTE) affect return on equity (ROE)

Use variables Board Size, Independence, Meetings, Net Profit, Total Assets, ROA, ROE for INALA and the RES companies.

The purpose of this Analysis is to conduct a comparative volatility analysis of ESG and benchmark portfolios on the Johannesburg Stock Exchange. Specifically, it examines the FTSE/JSE Responsible Investment Index (J113) as a representative ESG portfolio and the FTSE/JSE All Share Index (J203) as a conventional market benchmark. By applying advanced volatility modelling techniques, including GARCH (1, 1) and EGARCH models, the study seeks to uncover differences in volatility levels, persistence, and asymmetric responses to market shocks between ESG and benchmark indices. Furthermore, it evaluates the risk-adjusted performance of both portfolios to determine whether ESG integration enhances portfolio resilience and offers superior risk-reward outcomes in an emerging market context.

Predicting fraud transactions using is_fraudulent(predicted variable), amount, card_type, location, purchase_category, customer_age. However, only purchase_category variable was statistically significant to predict Fraudulent behavior.

Analysis Cafe sales by year, month, day of the week and by payment method

A predictive model to classify maternal health risk levels (High vs Low) during pregnancy using key clinical and physiological parameters. It leverages the tidy models framework in R to build, tune and evaluate multiple classification models with a focus on achieving high predictive performance for early risk identification.