lbrary(dplyr) lbrary(ggplot2) load("data/L.rdata")

Machine Learning and Prediction Model Machine Learning Structure Supervised Learning Unsupervised Learning Prediction Model Cross-Validation and Parameter Tuning Unstructured Data  

Chapter 1   (1a) Read in Data – Standard (enlighter) theme library(dplyr) library(readxl) dir("data",".xlsx$") %>% lapply(function(z) { read_xlsx(z) })   (1b) Combine and Process Data – Automic theme date0 = as.Date("2020-12-31") D = do.call(rbind, L) %>% group_by(id) %>% summarise( r = date - date0, f = n(), m = sum(pay)/n() ) %>% ungroup()