Code and Simulations using Biologically Annotated Neural Networks (BANNs)
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Updated
Jul 4, 2020 - HTML
Code and Simulations using Biologically Annotated Neural Networks (BANNs)
Code and simulations using biologically annotated neural networks
Predict prices of diamond data in ggplot2
Reproducibility repo for the simulation and real data results in the SINATRA manuscript set to appear in AoAS.
This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.
subsample-order least-angle regression, a algorithm that performs quick, sparse, stable and accurate variable selection for ultrahigh dimensional data under complicated dependence structures, harsh irrepresentable conditions and high multicollinearity.
Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).
In this study we seek to predict employee attrition with KNN clustering and Naive Bayes, and to predict employee salary using multiple linear regression
STAT 2131 (Applied Statistical Method 1) Course Final Project at Pitt in 2023 Fall.
Case studies on model assessment, model selection and inference after model selection
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
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