## Telco Churn Modelling using Naive Bayes algorithm in R

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

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

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

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 …

## Data Analytics – DISPLAY A BEAUTIFUL SUMMARY STATISTICS IN R USING SKIMR PACKAGE

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 …

## Data Analytics – GGPLOT LOG SCALE TRANSFORMATION

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 …

## Data Analytics – GGPlot Title, Subtitle and Caption

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 …

## Data Analytics – TYPES OF CLUSTERING METHODS: OVERVIEW AND QUICK START R CODE

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 …

## Machine Learning Mastery: A Practical approach to Simple Linear Regression using R

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 …

## Machine Learning Mastery: Linear Regression using sklearn

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 …

## Machine Learning Mastery: Multiple Linear Regression using R

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 …

## Machine Learning Mastery: Multiple Linear Regression using Python

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 …