For students of Harvard CSCI E-96 Data Mining for Business

Spring 2025 University syllabus or PDF here

Fall 2024 University syllabus or PDF here

Spring 2024 University syllabus or PDF here

If you are new to R, please take an online course to get familarity prior to the first session. We will still cover R basics but students have been aided by spending a few hours taking a free online course at Youtube or DataCamp. The code below should be run in the console to install packages needed for the semester.

If you encounter any errors don't worry we will find time to work through them. The qdap library is usually the trickiest because it requires Java and rJava and does not work on Mac. So if you get any errors, try removing that from the code below and rerunning. This will take a long time if you don't already have the packages, so please run prior to class, and at a time you don't need your computer ie at night.

# Individually you can use 
# install.packages('packageName') such as below:
install.packages('ggplot2')

# or 
install.packages('pacman')
pacman::p_load(ggplot2, ggthemes, ggdark, rbokeh, maps, 
               ggmap, leaflet, radiant.data, DataExplorer,
               vtreat, dplyr, ModelMetrics, pROC,
               MLmetrics, caret, e1071, plyr, 
               rpart.plot, randomForest, forecast, dygraphs,
               lubridate, jsonlite, tseries, ggseas,
               arules,fst, recommenderlab,reshape2,
               TTR,quantmod, htmltools,
               PerformanceAnalytics,rpart, data.table,
               pbapply, rbokeh, stringi, tm, qdap, readr,
               dendextend, wordcloud, RColorBrewer,
               tidytext, radarchart, RCurl, openNLP, xml2, stringr,
               devtools, flexdashboard, rmarkdown, httr)

This is tentative and subject to change to maximize learning. The course syllabus will have the most up to date topics.

library(textstem)