Boosted Random Forest (Final Project)

[micontre]

Post info here

[williamgilpin]

https://xgboost.readthedocs.io/en/stable/

https://lightgbm.readthedocs.io/en/v3.3.2/

[williamgilpin]

https://hastie.su.domains/Papers/ESLII.pdf

[micontre]

https://arxiv.org/pdf/physics/0408124.pdf

[williamgilpin]

2004? Impressive

[domstec]

https://towardsdatascience.com/decision-tree-classifier-explained-in-real-life-picking-a-vacation-destination-6226b2b60575

https://towardsdatascience.com/random-forests-algorithm-explained-with-a-real-life-example-and-some-python-code-affbfa5a942c

[domstec]

https://metapdf.hepforge.org/PDFSense/

[micontre]

Hi William, do you have an example of continuous data that we could use?

[williamgilpin]

let me think about it, a time series seems like a good potential option. perhaps an ECG trace from PhysioNet?

[williamgilpin]

@micontre I have a couple of time series datasets here: https://github.com/williamgilpin/fnn/tree/master/datasets

Numpy can read these files into arrays