Publications by Sith
HW2
Problem 1 1.1 (Bayesian): A new credit scoring system has been developed to predict the likelihood of loan defaults. The system has a 90% sensitivity, meaning that it correctly identifies 90% of those who will default on their loans as postive. It also has a 95% specificity, meaning that it correctly identifies 95% of those who will not defaul...
14853 sym Python (6513 sym/106 pcs) 2 img
Chapter 12 FPP3
Advanced Forecasting Methods This document provides a comprehensive overview of advanced forecasting methods as covered in Chapter 12 of Hyndman’s Forecasting: Principles and Practice (fpp3). It includes theoretical explanations, mathematical formulations, and R code examples. 12.1 Complex Seasonality So far, we have mostly considered relati...
1861 sym R (2222 sym/12 pcs) 5 img
Time Series Features
Load # Install necessary packages if not already installed if (!requireNamespace("feasts", quietly = TRUE)) { install.packages("feasts") } ## Registered S3 method overwritten by 'tsibble': ## method from ## as_tibble.grouped_df dplyr if (!requireNamespace("tsibble", quietly = TRUE)) { install.packages("tsibble") } # ...
6089 sym R (6031 sym/50 pcs) 10 img
final Bankruptcy
Remove Packages / Clear Memory Load Load R Libraries ######Libraries############################# suppressWarnings({ require(Amelia) #require(broom) require(car) require(caret) require(corrplot) require(dplyr) #require(e1071) #require(fastDummies) #require(fmsb) require(formattable) require(ggplot2) require(g...
3238 sym R (783064 sym/359 pcs) 368 img 5 tbl
Bankruptcy final 8 10 2024
Remove Packages / Clear Memory Load Load R Libraries ######Libraries############################# suppressWarnings({ require(Amelia) require(broom) require(car) require(caret) require(corrplot) require(dplyr) require(e1071) require(fastDummies) require(fmsb) require(formattable) require(ggplot2) require(ggcor...
2679 sym R (890479 sym/384 pcs) 353 img 5 tbl
example 5 discussion 3
Base Chunks Libraries require(dplyr) ## Loading required package: dplyr ## Warning: package 'dplyr' was built under R version 4.3.2 ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal,...
251 sym Python (9488 sym/71 pcs) 11 img
Example 4 week 3 discussion
Base Chunks Libraries require(dplyr) ## Loading required package: dplyr ## Warning: package 'dplyr' was built under R version 4.3.2 ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal,...
246 sym Python (10421 sym/59 pcs) 6 img
Example 3 Discussion 3
Base Chunks Libraries require(fredr) ## Loading required package: fredr ## Warning: package 'fredr' was built under R version 4.3.2 require(fpp3) ## Loading required package: fpp3 ## Warning: package 'fpp3' was built under R version 4.3.2 ## ── Attaching packages ───────────────────────────...
200 sym 4 img
Example for Week 3 Discussion, Predictive Analytics
Base Chunks Libraries require(fredr) ## Loading required package: fredr ## Warning: package 'fredr' was built under R version 4.3.2 require(fpp3) ## Loading required package: fpp3 ## Warning: package 'fpp3' was built under R version 4.3.2 ## ── Attaching packages ───────────────────────────...
200 sym 4 img
Example 2 Week 3 Pred
Base Chunks Libraries require(dplyr) ## Loading required package: dplyr ## Warning: package 'dplyr' was built under R version 4.3.2 ## ## Attaching package: 'dplyr' ## The following objects are masked from 'package:stats': ## ## filter, lag ## The following objects are masked from 'package:base': ## ## intersect, setdiff, setequal,...
224 sym Python (6475 sym/46 pcs) 4 img