Publications by David Leydet
ML Pipelines
Pipelines Introduction In this lab, we’ll go an example of building a pipeline to feed data into a machine learning model. You will need the credit_data.csv dataset (attached). ## set working directory setwd("~/Desktop/University of Utah PhD /Course Work/Spring 2023 Semester/GEOG6160 - Spatial Modeling/Labs/lab09/") ## Load required libraries ...
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Intro to Neural Networks
Neural Networks Introduction Note: In this lab, we’ll go over two neural network examples. These are simple one or two hidden layer networks, and the main purpose of the exercise is to demonstrate how to build the networks and what options are available to modify these. We’ll also walk through tuning these simple networks. ##Set Working Direct...
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Ensemble Tree ML Methods
Tree Methods Note: Use the following data: current.env.RData future.env.Rdata Pinus_edulis.csv ne_50m_admin_0_countries.zip Initial Set Up ##Set working directory setwd("~/Desktop/University of Utah PhD /Course Work/Spring 2023 Semester/GEOG6160 - Spatial Modeling/Labs/lab07") ##List Files to check for the appropriate data list.files("../datafi...
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Introduction to Machine Learning (mlr3 package)
** GEOG6160 Spatial Modeling Lab 6 - Intro to Machine Learning** Initial Setup ##pkgs #MLR - Machine Learning #Viz, tuning, learners are extensions of the mlr3 package pkgs = c("mlr3", "mlr3viz", "mlr3learners", "mlr3tuning") install.packages(pkgs) ## Set working directory ## Experiment with here()? setwd("~/Desktop/University of Utah PhD /Cou...
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Mixed Effects Model Demo
Practice ##Set working directory and load the packages for this lab. setwd("~/Desktop/University of Utah PhD /Course Work/Fall 2022 Semester/GEOG6000_Data Analysis/lab06") library(ggplot2) library(dplyr) library(nlme) library(tidyr) library(lme4) library(lattice) library(mgcv) ##for generalized additive models library(plotly) ##for interactive ...
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Basic Plotting
GEOG6000 Methods of Data Analysis Lab 03 Experiment using R Markup in HTML Plotting Types setwd("~/Desktop/University of Utah PhD /Course Work/Fall 2022 Semester/GEOG6000_Data Analysis/lab03") ##Set working directory ##Bar Plots VAdeaths = read.csv("../datafiles/VAdeaths.csv", row.names = 1) mycol = heat.colors(5) barplot(as.matrix(VAdeaths), b...
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Basic Linear Modeling
GEOG6000 - Methods of Data Analysis setwd("~/Desktop/University of Utah PhD /Course Work/Fall 2022 Semester/GEOG6000_Data Analysis/lab04") ##Set working directory Initial Scripting Practice Exercise irished = read.csv("../datafiles/irished.csv") irished$sex = factor(irished$sex, levels = c(1, 2), labels ...
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Generalized Linear Models - Binomial and Poisson
Generalized Linear Models setwd("~/Desktop/University of Utah PhD /Course Work/Fall 2022 Semester/GEOG6000_Data Analysis/lab05") Binomial Model 1 Used for binary (0, 1) data. irished = read.csv("../datafiles/irished.csv", header = TRUE) ##Change the numerical values to categorical data with labels irished$sex = factor(irished$sex, ...
5690 sym Python (12261 sym/52 pcs) 6 img
Visualization Practice - ggplot and plotly
Initial ggplot set up setwd("~/Desktop/University of Utah PhD /Course Work/Fall 2022 Semester/GEOG6000_Data Analysis/lab05b") library(ggplot2) library(dplyr) #for helping rename/shape data library(ggpubr) #additional package for producing plots library(plotly) #interactive figures library(ggthemes) #adding additional themes penguins = read.csv(...
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Clustering and Principle Component Analysis
Practice - Distance Measures and Cluster Analysis ##R setup with packages for this lab library(ggplot2) library(ggpubr) library(plotly) library(maps) #Displaying geographic data library(cluster) #Cluster analysis package library(fpc) #Flexible procedures for clustering library(fields) #For working with spatial data library(RColorBrewer) #Adding ...
3709 sym R (41085 sym/80 pcs) 18 img 2 tbl