Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet
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Updated
Sep 19, 2020 - R
Prediction of Students' Academic Performance Dataset: Cart Trees, Random Forest, Cross Validation and Neuralnet
CAP6619 Deep Learning FAU CS master's Fall 2018
Compute your R 'neuralnet' neural network using cpp code
This repository contains files containing attempts at solutions to problems for lab sessions part of a lecture series prepared for a 2-week introductory course to machine learning by Etienne A.D Pienaar
Algoritmo de redes neurais desenvolvido em R, com o RStudio para previsão da taxa SELIC entre os anos de 2017 e 2020.
The dataset I am working with is from finance industry. The dataset contains a total dimensions of 14 variables across 5181 observations.
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