Types of machine learning algorithm
What is machine learning? Machine Learning refers to the techniques […]
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Application areas for Customer analytics in banking
There are three stages of customers relationship with Banks or […]
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List of important R packages for data analysis and machine learning
install.packages(‘Package name’) install.packages(‘Readxl’) install.packages(‘e1071’) install.packages(‘psych’) install.packages(‘ggplot2’) install.packages(‘caret’) install.packages(‘tidyverse’) install.packages(‘dplyr’) install.packages(‘tidyr’) […]
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Basics of statistics for data science: Type of data measurement scale
Basics of statistics for data science: Type of data measurement […]
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Basics of Statistics for Data Science: How to calculate Z score
Z score is a statistic used to measure the number […]
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Read and import different data files in R: Excel, CSV, SPSS, txt, url
Steps to Read and import different data files in R […]
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Predictive model for Bank customer churn using machine learning
This case study study is about predicting customer churn in […]
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Datasets for practicing data science and machine learning
1. Titanic dataset 2. Targeted Marketing Campaign 3. […]
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Credit Risk: Predictive machine model for loan default with R codes
This case study discusses steps to build loan default model […]
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Introduction to Basics of R: Getting Started in R and RStudio
Start your Base R on your laptop or computer Basically, […]
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How to Create, Modify, and access elements of Create, Modify, access elements of Vectors in Rstudio
# Let us create vectors in R# Vectors are one-dimension […]
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Data Visualization with R codes: Barplots and Scatter plots
Read the earlier article to understand the data by clicking […]
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Data visualization with R: Histogram, Boxplot, Piechart, Mosiacplot, Correlation
Download the dataset by clicking on the below link Targeted […]
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Metrics to evaluate classification models with R codes: Confusion Matrix, Sensitivity, Specificity, Cohen’s Kappa Value, Mcnemar’s Test
This article aims to discuss various evaluation / performance metrics […]
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Logistic regression with R codes
Train the model using the training sets and check score […]
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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 […]
