I analysed a chemical dataset (with over 3,000 observations) and 35 variables from a lagoon sediment core using statistical, machine learning techniques and Bayesian modeling leading to a novel record of climate and environmental changes in north Queensland. I performed the data cleaning, wrangling, manipulation, and visualisation in RStudio. Machine learning techniques included: clustering (hierarchical cluster), ordination (principal component, principal curves), and regression (linear) to identify and delineate periods of significant environmental changes. I used Bayesian modelling to produce approximate ages to these changes. Code available at: https://github.com/mariariveraaraya/Environmental_climate_change_Australia