R Learning Renault -

Use historical data to predict future prices or sales.

library(tidymodels)
set.seed(123)
split <- initial_split(renault_data, prop = 0.75)
train <- training(split)
test <- testing(split)
model <- linear_reg() %>%
set_engine("lm") %>%
fit(price ~ hp + age + mileage, data = train) r learning renault
predict(model, test)

Renault twist: Build a model to predict the resale value of a 5-year-old Renault Kadjar based on its original price, engine size, and accident history.

sum(is.na(renault_data$hp))

Vehicle Specifications

Customer Sentiment

Predictive Maintenance