In this project, I will use the Kepler Space Observatory data to analysis the observations of detected and confirmed exoplanet findings along with potential candidate exoplanet observations. This project looks at both unsupervised learning models, such as PCA, and supervised learning models, such as linear regression and classification, to learn more about the factors that have significance in whether a sighting is confirmed as a true exoplanet, or if it is merely a false positive sighting.

Updated patient selection and analysis by Stephanie Tuminello on 1.30.25

analisis de marcas