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

In this project, I will be training a number of Prediction models using Types of Machine Learning Algorithms while also providing a detailed report outlining my model-building process, how cross-validation was applied and the accuracy behind those Prediction models.

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