Publications by Gabriel Santos
Mapas com ggplot2 - exemplo Tinamidae
class: center, middle, inverse, title-slide .title[ # Introdução à elaboração de Mapas com o ggplot2 ] .subtitle[ ## Exemplo Tinamidae ] .author[ ### Gabriel Santos ] --- class: middle, center <style type="text/css"> # DETERMINA O TAMANHO DOS CÓDIGOS .remark-code{line-height: .8; font-size: 65%} .remark-slide-scaler {overf...
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Gramática dos gráficos - Exemplos
class: center, middle, inverse, title-slide .title[ # Gramática dos gráficos - Exemplos ] .subtitle[ ## Gabriel Silva dos Santos ] --- class: inverse, center, middle <!-- Configurações --> <style type="text/css"> # DETERMINA O TAMANHO DOS CÓDIGOS .remark-code{line-height: .8; font-size: 65%} .remark-slide-scaler {overflow-y...
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Analytics Master’s Research Project
Abstract Introduction Literature Review Dataset Overview Implementing Supervised Machine Learning algorithms Summary models Conclusion References Appendix Abstract This capstone addresses the crucial challenge of predicting sales in businesses by applying advanced data science techniques. This project focuses on the development and implementa...
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Crimes in US Communities Analysis
Libraries library(kableExtra) library(tidyverse) library(ggplot2) library(dplyr) library(psych) library(caret) library(mice) library(randomForest) library(caTools) library(corrplot) library(naniar) library(xgboost) library(usmap) library(DiagrammeR) library(earth) library(plotly) library(wordcloud) library(RColorBrewer) library(gl...
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Data_624_Project2
Project 2 Data Data Preparation Build Models Select Model Prediction Conclusion Project 2 This is role playing. I am your new boss. I am in charge of production at ABC Beverage and you are a team of data scientists reporting to me. My leadership has told me that new regulations are requiring us to understand our manufacturing process, the pred...
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Data624_HW9
Libraries Exercise 8.1 Exercise 8.2 Exercise 8.3 Exercise 8.7 Libraries library(AppliedPredictiveModeling) library(dplyr) library(forecast) library(ggplot2) library(tidyr) library(mice) library(corrplot) library(MASS) library(earth) library(RANN) Exercise 8.1 Recreate the simulated data from Exercise 7.2: library(mlbench) set.seed(200) ...
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DATA624_HW8
library(AppliedPredictiveModeling) library(dplyr) library(forecast) library(ggplot2) library(tidyr) library(mice) library(corrplot) library(MASS) library(mlbench) library(caret) library(earth) library(RANN) Exercises 7.2 Friedman (1991) introduced several benchmark data sets create by simulation. One of these simulations used the follo...
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NonLinearRegression
Dataset: Cars and salespersons we would like to analyze the relationship between how many total cars have been sold by each sales person and how many weeks each salesperson has worked to sell this cars. Libraries library(tidyverse) library(ggplot2) library(dplyr) SalesCars <- read_csv('https://raw.githubusercontent.com/GabrielSantos33/Non-line...
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NonLinear Regression
Dataset: Cars and salespersons we would like to analyze the relationship between how many total cars have been sold by each sales person and how many weeks each salesperson has worked to sell these cars. Libraries library(tidyverse) library(ggplot2) library(dplyr) SalesCars <- read_csv('https://raw.githubusercontent.com/GabrielSantos33/Non-lin...
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Data624_HW7
Exercises 6.2 Developing a model to predict permeability (see Sect. 1.4) could save significant resources for a pharmaceutical company, while at the same time more rapidly identifying molecules that have a sufficient permeability to become a drug: library(dplyr) library(varImp) library(elasticnet) Start R and use these commands to load the da...
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