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## Classification Algorithm Part 1: Logistic Regression Using R Language

What is Logistic Regression? Logistic regression is used when the dependent variable is categorical. For example, To predict whether the...

## Regression Algorithm Part 6: Random Forest Regression Using R Language

What is Random Forest Regression? Random Forest or Random Decision Forests are an ensemble learning method for classification and...

## Regression Algorithm Part 5: Decision Tree Regression Using R Language

What is Decision Tree Regression? Decision trees are a non-parametric supervised learning method used for both classification and...

## Regression Algorithm Part 4: Support Vector Regression Using R Language

What is Support Vector Regression? Support Vector Machine is a supervised machine learning algorithm that can be used for regression or...

## Regression Algorithm Part 3: Polynomial Linear Regression Using R Language

What is a Polynomial Linear Regression? Polynomial Linear Regression is similar to the Multiple Linear Regression but the difference is,...

## Regression Algorithm part2: Multiple Linear Regression Using R Language

What is a Multiple Linear Regression? Multiple Linear Regression is an extension of the simple linear regression algorithms to predict...

## Regression Algorithm Part 1: Linear Regression Using R Language

What is a Linear Regression? Linear Regression is one of the supervised machine learning algorithms to predict values within a continuous...

## Data Manipulation using DPLYR : Part 3

Merging Data Using DPLYR In this blog, you will learn how to Merge Data using the dplyr R package. When you will be working with multiple...

## How to convert DataFrame to CSV and Import a CSV File into R in R language.

Often, you’ll work with data in Comma Separated Value (CSV) files. Exporting a DataFrame to CSV and importing a CSV file is an important...