Telco Churn Modelling using Naive Bayes algorithm in R In this Learn by Coding example, we will learn how to predict telco churn using naive bayes in R. This example is useful for beginners who has excel background and wish to learn Python programming as well as R programming. Free Machine Learning & Data …

Telco Churn Modelling using KNN algorithm in R In this Learn by Coding example, we will learn how to predict telco churn using KNN in R. This example is useful for beginners who has excel background and wish to learn Python programming as well as R programming. Free Machine Learning & Data Science …

Telco Churn Modelling using support vector machine in R In this Learn by Coding example, we will learn how to predict telco churn using support vector machine in R. This example is useful for beginners who has excel background and wish to learn Python programming as well as R programming. Free Machine …

Telco Churn Modelling using Linear Discriminant Analysis in R In this Learn by Coding example, we will learn how to predict telco churn using linear discriminant analysis in R. This example is useful for beginners who has excel background and wish to learn Python programming as well as R programming. Free Machine …

DISPLAY A BEAUTIFUL SUMMARY STATISTICS IN R USING SKIMR PACKAGE This article describes how to quickly display summary statistics using the R package skimr. skimr handles different data types and returns a skim_df object which can be included in a tidyverse pipeline or displayed nicely for the human reader. Key features of skimr: Provides a larger set of statistics than …

GGPLOT LOG SCALE TRANSFORMATION This article describes how to create a ggplot with a log scale. This can be done easily using the ggplot2 functions scale_x_continuous() and scale_y_continuous(), which make it possible to set log2 or log10 axis scale. An other possibility is the function scale_x_log10() and scale_y_log10(), which transform, respectively, the x and y axis scales into a log scale: base …

GGPLOT TITLE, SUBTITLE AND CAPTION This article describes how to add and change a main title, a subtitle and a caption to a graph generated using the ggplot2 R package. We’ll show also how to center the title position, as well as, how to change the title font size and color. In this R graphics tutorial, you will learn how to: Add titles and subtitles by …

TYPES OF CLUSTERING METHODS: OVERVIEW AND QUICK START R CODE Clustering methods are used to identify groups of similar objects in a multivariate data sets collected from fields such as marketing, bio-medical and geo-spatial. They are different types of clustering methods, including: Partitioning methods Hierarchical clustering Fuzzy clustering Density-based clustering Model-based clustering In this article, we …

A Practical approach to Simple Linear Regression using R Simple Linear Regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables. One variable denoted x is regarded as an independent variable and other one denoted y is regarded as a dependent variable. It is assumed that …

Linear Regression using sklearn Linear Regression is a machine learning algorithm based on supervised learning. It performs a regression task. Regression models a target prediction value based on independent variables. It is mostly used for finding out the relationship between variables and forecasting. Different regression models differ based on – the kind of relationship …

Multiple Linear Regression using R Linear Regression: It is the basic and commonly used used type for predictive analysis.It is a statistical approach for modelling relationship between a dependent variable and a given set of independent variables. These are of two types: Simple linear Regression Multiple Linear Regression Let’s Discuss about Multiple Linear …

Multiple Linear Regression using Python Linear Regression: It is the basic and commonly used type for predictive analysis. It is a statistical approach to modelling the relationship between a dependent variable and a given set of independent variables. These are of two types: Simple linear Regression Multiple Linear Regression Let’s Discuss Multiple Linear Regression …