SumeetWarankar

library('ggplot2')
library('ggthemes')
install.packages("data.table")
library(data.table)

path <- "E:/R Language/DataSet/Purchase Amount dataset"
setwd(path)

# Loading datasets
 

SumeetWarankar

library(dplyr) # data Manipulation
library(ggplot2) # data Visualization
library(ggthemes) # data visualization
library(randomForest)
# Setting the working directory

path <- "E:/R Language/DataSet/Loan dataset"
setwd(path)

# Loading the datasets into variable train and test

SumeetWarankar

# Dataset downloaded from - https://datahack.analyticsvidhya.com/contest/practice-problem-big-mart-sales-iii/
# Challenge - Is to predict the sales from test dataset.

# Load directory into a variable path

path <- "E:/R Language/DataSet"

#Setting my working directory

setwd(path)

SumeetWarankar

# Dataset from Kaggle.com - https://www.kaggle.com/c/titanic/data
# Challenge - In this challenge, we are going to complete the analysis of what sorts of people were likely to survive.

# Setting the path for the directory

path <- "E:/R Language/DataSet/Titanic Dataset"
setwd(path)

# Loading the csv files from the current working directory into train and test variable.