My first machine learning project uses the ‚OpenIntro Possum‘ dataset available on Kaggle, curated by Abram Beyer, to perform different regression and classification tasks. This dataset offers a valuable opportunity to delve into the world of machine learning within the realm of wildlife ecology. The dataset contains nine measurements of possums found in different sites of Australia.

Below some examples of my work published on Kaggle.

1. Exploratory Data Analysis of feature Population (Pop)
2. Classification of possum population with Logistic Regression
3. Prediction of earconch with Linear SVR
4. Prediction of headlength of possum with Linear SVR

Image by videorevive .