# Work in progress

# Load the relevant libraries
library(caret) # Library for model selection and finetuning
library(ggplot2) # Library for data visualization

# Get the list of all files in the input directory
system("ls ../input")

# Load data sets as train and test
train <- read.csv("../input/train.csv")
test <- read.csv("../input/test.csv")

# Check if data was successfully loaded
ls()
str(train)
str(test)

# Create a column for Sale Price in the test file and feed a dummy value to it 
test$SalePrice <- 0

# Combine the training and test set into one file
full <- rbind(train, test)
str(full)

# This is still a work in progress. I am going to continue to fine tune this code.