GitHub - Drilonpacarizi/Loss-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.

Drilonpacarizi / Loss-Data Public

Notifications You must be signed in to change notification settings
Fork 1
Star 0

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 da…

2019.spaceappschallenge.org/challenges/planets-near-and-far/raiders-lost-data/details

0 stars 1 fork Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
.idea		.idea
out/production/Space Apps		out/production/Space Apps
src		src
Filled.csv		Filled.csv
Fireball.csv		Fireball.csv
GLC.csv		GLC.csv
Meteorite_Landings.csv		Meteorite_Landings.csv
Opensource.csv		Opensource.csv
Periodic Table of Elements with misssing data.csv		Periodic Table of Elements with misssing data.csv
Space Apps.iml		Space Apps.iml
Speed.csv		Speed.csv
near-earth-comets.csv		near-earth-comets.csv
output.arff		output.arff
output2.arff		output2.arff