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#----------------------------------TIME SERIES ANALYSIS---------------------------------# | |
#--------------------------------------------------------------------------------------# | |
# Read the Source data file | |
superstore_data <- read.csv("Global Superstore.csv", header = T, sep = ',') | |
##------------BUSINESS UNDERSTANDING----------------# |
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#loading necessary libraries | |
library(readr) | |
library(dplyr) | |
library(ggplot2) | |
library(caret) | |
library(kernlab) | |
library(gridExtra) | |
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#############################Telecom Solution################### | |
################################################################ | |
#Business Understanding | |
#Data Understanding | |
#Data Preparation & EDA | |
#Model Building | |
#Model Evaluation | |
################################################################ | |
### Business Understanding: |
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library(dplyr) | |
library(ggplot2) | |
loandata <- read.csv(file="loan.csv", header=TRUE, sep=",",stringsAsFactors=FALSE) |
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#######----------------------------------------------------####### | |
#Reading the carprice data as provided | |
carprice <- read.csv("CarPrice_Assignment.csv") | |
#checking the structure of the data frame | |
str(carprice) | |
#######----------------------------------------------------####### | |
#######----------------------------------------------------####### | |
#Extracting company from CarName |
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#############################HR Analytics Solution################### | |
################################################################ | |
#Business Understanding | |
#Data Understanding | |
#Data Preparation & EDA | |
#Model Building | |
#Model Evaluation | |
################################################################ | |
### Business Understanding: |