Exploring Exoplanets

ECON-UB 232-002 Data Bootcamp (NYU Stern School of Business)
Fall 2020 Solo Project

We analyzed the exoplanet data from the Kepler space mission to create data visualizations and interactive applications that relay the information presented by the data.

Goal

The objective for the project was to analyze the exoplanet data from the Kepler space mission. My responsibilities included:
• Data cleaning
• Making ML models: to derive interesting patterns from the data
• Building a strong narrative from the insights using creative data visualizations and interactive applications

Results

Results were presented in a Jupyter notebook with the code and explanations. The content included:
• Data visualizations: what the raw data looked like and a visual representation of the insights we derived.
• Predictors: the Machine Learning aspect of the project was used to build predictors and apply them through interactive applications (whether user given specifics could be possible specifics of an exoplanet, whether the chosen exoplanet is habitable; otherwise, the reasons for inhabitability are provided).



GitHub