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101-pandas-exercises

101 Pandas Exercises/Puzzles for Data Analysis.

berryspectraapp

icoshift

A versatile tool for the rapid alignment of 1D NMR spectra

imagem_aprendizadomaquina

intro_cvs

meta-arima2

papaya

Context This is an image dataset (JPEG)of papaya fruit. The objective is to predict the ripening of the papaya fruit using digital imaging. Content A total of 131 samples from 57 fruits are used for the experiments. These fruits are classified into three stages of maturity (EM1, EM2 and EM3). Some images present more than one acquisition, having more than one image. Acknowledgements Department of Food Engineering, University of Campinas (UNICAMP), Brazil Department of Computer Science, Londrina State University (UEL), Londrina, Brazil Pereira, Luiz Fernando Santos (UNICAMP) Barbon Junior, Sylvio (UEL) Valous, Nektarios A. (UEL) Barbin, Douglas Fernandes (UNICAMP) Reference 10.1016/j.compag.2017.12.029 Pereira, L.F.S., Barbon Jr, S., Valous, N.A. and Barbin, D.F., 2018. Predicting the ripening of papaya fruit with digital imaging and random forests. Computers and Electronics in Agriculture, 145, pp.76-82. Bibtex @article{pereira2018predicting, title={Predicting the ripening of papaya fruit with digital imaging and random forests}, author={Pereira, Luiz Fernando Santos and Barbon Jr, Sylvio and Valous, Nektarios A and Barbin, Douglas Fernandes}, journal={Computers and Electronics in Agriculture}, volume={145}, pages={76--82}, year={2018}, publisher={Elsevier} }

prontuariovoz

remidnsec

sbarbonjr.github.io

Sylvio Barbon Junior's Website

stlrulesevolutionaryinferencenoclass

surrogate_sv5

testrepo

Single test