Decision trees with R codes
Decision tree can be used for both classification and regression problems. […]
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Factors in RStudio: Analysing categorical data
## Factors in R> > theory <- “R uses factors […]
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Create data frame from Vectors in RStudio
> ### Dataframes are two dimensional structure with rows and […]
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Targeted Marketing Campaign for cross-sell of Term Deposits: Predicting conversion of cross-selling using machine learning
# Setting up working directorysetwd(“”)# Getting working directorygetwd()# Import the […]
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Predicting Telecom customer Churn: Machine learning in R
setwd(“”)library(readr)WA_Fn_UseC_Telco_Customer_Churn <- read_csv(“WA_Fn-UseC_-Telco-Customer-Churn.csv”)View(WA_Fn_UseC_Telco_Customer_Churn)dataset <- WA_Fn_UseC_Telco_Customer_Churnstr(dataset)head(dataset)tail(dataset)View(dataset)# Converting to factorsdataset$gender <- as.factor(dataset$gender)dataset$SeniorCitizen […]
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Unsupervised machine learning Creating Segments using RFM data Kmeans clustering in R
#creating a fresh copy of the data to work on […]
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Content format for consumer engagement and digital marketing
The following are the dominant content format being used for […]
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Automated bidding strategy and campaign goals
There are basically 4 types of bid strategy 1. Visibility […]
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Data Science for beginners: Step by step approach to learn with R programming
This free course on data science for beginners will introduce […]