© Ekaba Bisong 2019
E. . BisongBuilding Machine Learning and Deep Learning Models on Google Cloud Platformhttps://doi.org/10.1007/978-1-4842-4470-8_44

44. Model to Predict the Critical Temperature of Superconductors

Ekaba Bisong1 
(1)
OTTAWA, ON, Canada
 
This chapter builds a regression machine learning model to predict the critical temperature of superconductors. The features for this dataset were derived based on the following superconductor properties:
  • Atomic mass

  • First ionization energy

  • Atomic radius

  • Density

  • Electron affinity

  • Fusion heat

  • Thermal conductivity

  • Valence

And for each property, the mean, weighted mean, geometric mean, weighted geometric mean, entropy, weighted entropy, range, weighted range, standard deviation, and weighted standard deviation ...

Get Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners now with O’Reilly online learning.

O’Reilly members experience live online training, plus books, videos, and digital content from 200+ publishers.