Predicting critical
temperature of a
superconductor
using machine
learning algorithms
Introduction
What are
superconductors?
Tasks;
Task one
Task two
IMPUTATION:
Tuesday, February 2, 20XX
Sample Footer Text
8
Task three
PCA takes
advantage of
correlations
between
dimensions
IMPORTANCE OF NORMALIZING YOUR DATA
Without standard scaler
With standard scaler
Task four
Task five
Accuracy:
Score:
models
training
testing
Decision trees
0.98
0.84
Random forests
0.98
0.92
Linear regression
0.59
0.61
Multi-layer perceptron (NN)
0.80
0.75
Conclusion:
Thank You