Bradley Boehmke bradleyboehmke
bradleyboehmke
/ save_colab_as_html.py
Created
December 3, 2025 19:48
Save Colab notebook as an HTML file
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| from IPython.display import display, Javascript | |
| from google.colab import drive, files | |
| import os | |
| import glob | |
| import time | |
| import nbformat | |
| from nbconvert import HTMLExporter | |
| import uuid | |
| import subprocess |
bradleyboehmke
/ resampling_differences.R
Last active
March 24, 2021 13:13
Observing slight differences in resampling schemes between caret and rsample k-fold implementations
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| library(AmesHousing) | |
| library(caret) | |
| library(rsample) | |
| ames <- make_ames() | |
| ames <- tibble::rownames_to_column(ames) | |
| # create folds | |
| set.seed(123) | |
| folds_caret <- createFolds(ames$Sale_Price, k = 10, returnTrain = TRUE) |
bradleyboehmke
/ tidymodel-vip-firm
Created
June 4, 2020 10:35
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| library(parsnip) | |
| library(vip) | |
| m <- linear_reg() %>% | |
| set_engine("lm") %>% | |
| set_mode("regression") %>% | |
| fit(mpg ~ ., data = mtcars) | |
| vi_firm(m$fit, feature_names = setdiff(names(mtcars), "mpg"), train = mtcars) | |
| vip(m$fit, method = "firm", feature_names = setdiff(names(mtcars), "mpg"), train = mtcars) |
bradleyboehmke
/ ames.csv
Created
February 7, 2020 21:12
We can't make this file beautiful and searchable because it's too large.
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| MS_SubClass,MS_Zoning,Lot_Frontage,Lot_Area,Street,Alley,Lot_Shape,Land_Contour,Utilities,Lot_Config,Land_Slope,Neighborhood,Condition_1,Condition_2,Bldg_Type,House_Style,Overall_Qual,Overall_Cond,Year_Built,Year_Remod_Add,Roof_Style,Roof_Matl,Exterior_1st,Exterior_2nd,Mas_Vnr_Type,Mas_Vnr_Area,Exter_Qual,Exter_Cond,Foundation,Bsmt_Qual,Bsmt_Cond,Bsmt_Exposure,BsmtFin_Type_1,BsmtFin_SF_1,BsmtFin_Type_2,BsmtFin_SF_2,Bsmt_Unf_SF,Total_Bsmt_SF,Heating,Heating_QC,Central_Air,Electrical,First_Flr_SF,Second_Flr_SF,Low_Qual_Fin_SF,Gr_Liv_Area,Bsmt_Full_Bath,Bsmt_Half_Bath,Full_Bath,Half_Bath,Bedroom_AbvGr,Kitchen_AbvGr,Kitchen_Qual,TotRms_AbvGrd,Functional,Fireplaces,Fireplace_Qu,Garage_Type,Garage_Finish,Garage_Cars,Garage_Area,Garage_Qual,Garage_Cond,Paved_Drive,Wood_Deck_SF,Open_Porch_SF,Enclosed_Porch,Three_season_porch,Screen_Porch,Pool_Area,Pool_QC,Fence,Misc_Feature,Misc_Val,Mo_Sold,Year_Sold,Sale_Type,Sale_Condition,Sale_Price,Longitude,Latitude | |
| One_Story_1946_and_Newer_All_Styles,Residential_Low_Density,141 |
bradleyboehmke
/ help_functions.R
Last active
July 20, 2025 16:57
Simple application of word embeddings with GloVe algorithm via text2vec
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| # See http://text2vec.org/glove.html for more details about text2vec | |
| get_embeddings <- function(text) { | |
| # Create iterator over tokens | |
| tokens <- text2vec::space_tokenizer(text) | |
| # Create vocabulary. Terms will be unigrams (simple words). | |
| message("Creating vocabulary...") | |
| it <- text2vec::itoken(tokens, progressbar = FALSE) | |
| vocab <- text2vec::create_vocabulary(it) |
bradleyboehmke
/ gbm-learning-rate-trees-interaction.R
Created
December 22, 2018 15:58
Illustrates how smaller learning rates require more trees to converge to optimal solutions
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| library(dplyr) | |
| library(tidyr) | |
| library(ggplot2) | |
| library(gganimate) | |
| set.seed(1112) | |
| df <- tibble::tibble( | |
| x = seq(from = 0, to = 2 * pi, length = 500), | |
| y = sin(x) + rnorm(length(x), sd = 0.5), | |
| truth = sin(x) |
bradleyboehmke
/ analytics-connect-intermediate-r-student-script.R
Created
October 21, 2018 19:39
Student script for 2018 Analytics Connect Intermediate R workshop
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| TBD |
bradleyboehmke
/ analytics-connect-intro-r-student-script.R
Last active
October 21, 2018 15:57
Student script for 2018 Analytics Connect Intro to R workshop
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| ############################################################################### | |
| # FUNDAMENTALS # | |
| ############################################################################### | |
| # slide 13 ---------------------------------------------------------------- | |
| # assess where the outputs from these lines of code appear | |
| mtcars | |
| ?sum | |
| hist(mtcars$mpg) |