Project Details

The Challenge | Chasers of the Lost Data

Help find ways to improve the performance of machine learning and predictive models by filling in gaps in the datasets prior to model training. This entails finding methods to computationally recover or approximate data that is missing due to sensor issues or signal noise that compromises experimental data collection. This work is inspired by data collection during additive manufacturing (AM) processes where sensors capture build characteristics in-situ, but it has applications across many NASA domains.

The Missing Link

Missing Link is a tool that is used to find missing data in programming in order to increase the survivability of machines in outer space.

Ingenuity

Our team was inclined to solve a data science problem and this challenge suited our team best. Manipulating data was the passion of the team and what encouraged everyone to succeed despite the challenges that our team faced. Challenges that our team faced ranged from data complexity being more intense than planned and the overall project direction.

This is the YouTube Link to the Pitch Video: https://www.youtube.com/watch?v=541aVNsrYR8#action=share

Our Resources:

Source Code:https://github.com/Benjamin-Etheredge/SpaceApps201...

Optimizer Documentation: https://github.com/hyperopt/hyperopt

Sklearn Documentation : https://scikit-learn.org/stable/documentation.html