## Boosting in Machine Learning-Complete Guide

The majority of supervised machine learning algorithms rely on a single predictive model, such as linear regression, logistic regression, or ridge regression. Bagging and random forests, on the other hand, generate a variety of...

## Linear Discriminant Analysis: A step by step Guide

Linear Discriminant Analysis, we often utilize logistic regression when we have a collection of predictor factors and want to categorize a response variable into one of two classes. In the following circumstance, we may...

## ODDS Ratio Interpretation Quick Guide

odds ratio interpretation, the probability is a statistical term that relates to the likelihood of an event occurring. It’s calculated as follows: Probability: P(event) = (Desirable Outcomes) / (Possible Outcomes) Let’s say we have...

## Statistical Hypothesis Testing-A Step by Step Guide

Statistical Hypothesis Testing, an assumption regarding a population parameter is referred to as a statistical hypothesis. For example, we can assume that the average male height in India is 60 inches. The statistical hypothesis...

## Bagging in Machine Learning Guide

Bagging in Machine Learning, when the link between a group of predictor variables and a response variable is linear, we can model the relationship using methods like multiple linear regression. When the link is...

## Decision tree regression and Classification

Decision tree regression and Classification, Multiple linear regression can yield reliable predictive models when the connection between a group of predictor variables and a response variable is linear. Random forest machine learning Introduction »...

## Random forest machine learning Introduction

Random forest machine learning, we frequently utilize non-linear approaches to represent the relationship between a collection of predictor factors and a response variable when the relationship is exceedingly complex. Classification and regression trees (commonly...

## Export Data Frames into Multiple Excel Sheets in R

Export Data Frames into Multiple Excel Sheets in R, To export numerous data frames from R to multiple Excel worksheets, use the following basic syntax. How to calculate Scheffe’s Test in R » finnstats...

## Conditional Mean in R with examples

Conditional Mean in R, to calculate a conditional mean in R, use the following syntax. mean(data[data\$Name == ‘India’, ‘points’]) For every row in the data frame where the ‘Name’ column equals ‘India,’ this calculates...

## Error: ‘list’ object cannot be coerced to type ‘double’

Error: ‘list’ object cannot be coerced to type ‘double’, as the first step, we’ll need to generate some data that we’ll later use in the examples. List <- list(1:5,10,10:20)List [[1]] [1] 1 2 3...