Monthly Utility Bill Prediction

In this part we implement different machine learning models to find the best one. How bike could be predict needed in Metro area.

Installation

Use the function install.packages()to install needed packages.

install.packages("gridExtra")
install.packages("rattle")
install.packages("xgboost")
install.packages("caTools")
install.packages("caret")
install.packages("rattle")
install.packages("MLmetrics")
install.packages("kernlab")
install.packages('e1071', dependencies=TRUE)
install.packages("PerformanceAnalytics")

Usage

library(tidyverse)
library(reshape2)
library(PerformanceAnalytics)
library(gridExtra)
library(corrplot)
require(gridExtra) # also loads grid
require(lattice)
library(glmnet)
library(rpart)
library(rattle)
library(rpart.plot)
library(mlr)       # ML package (also some data manipulation)
library(knitr)     # just using this for kable() to make pretty tables)
library(xgboost)
library(Metrics)
library(RColorBrewer)
library(rattle)

Contributing

Bob Mai - Data scientist