Hugo Future Imperfect Slim

Modern Nomad Official Website

Traveler, Entrepreneur, and Data Enthusiast.

Author: J.C. Kameni

1 minute read

Exoplanet Explorer

Web application written in R, HTML, CSS & Javascript
Image Courtesy of the National Aeronautics and Space Administration.

Click here to be redirected to the Exoplanet Web App

Discover the extra-solar planets spotted by the Kepler and K2 missions, coupled with the efforts of 50+ observatories worldwide.


Machine learning concepts: Convolutional Neural Networks (CNN), Principal Components Analysis (PCA) & K-means Clustering.

Data Sources: NASA Exoplanet Archive, Mikulski Archive for Space Telescopes.

Other technologies include: Apache Spark, Amazon Elastic Map Reduce.


With this web application you can:

1/ Geo-localize observatories and the planets that they have respectively found:

2/ Search for data of interest using a user-friendly query builder interface.

3/ Interact with data and find correlations between variables.

Recent posts

Categories

About

test