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Package e1071 in R
Last Updated: 23 July 2025
The e1071 package in R provides simple implementations of machine learning methods like SVM, Naive Bayes, k-means and fuzzy c-means, along with tools for Fourier transform...
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How to Use SMOTE for Imbalanced Data in R
Last Updated: 11 July 2025
SMOTE (Synthetic Minority Over-sampling Technique) is a method used to handle imbalanced data by creating new samples for the minority class. Instead of copying existing ...
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What Is Meta-Learning in Machine Learning in R
Last Updated: 23 July 2025
In traditional machine learning, models are typically trained on a specific dataset for a specific task, and their performance is optimized for that particular task. Howev...
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Classification on a large and noisy dataset with R
Last Updated: 23 July 2025
In this article, we will discuss What is noisy data and perform Classification on a large and noisy dataset with R Programming Language.What is noisy data?Noise in data re...
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Weighted Ridge Regression in R
Last Updated: 23 July 2025
Weighted Ridge Regression extends regular Ridge Regression by assigning different weights to data points based on their importance. This allows for more flexibility and im...
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How to embed my Machine-learning R code in a website
Last Updated: 23 July 2025
The potential of machine learning (ML) goes beyond standalone applications. When you integrate your R code into a web application you unlock its power, for real-time predi...
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Fuzzy Clustering in R
Last Updated: 28 June 2025
Clustering is an unsupervised machine learning technique that is used to identify similarities and patterns within data points by grouping similar points based on their fe...
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Correlation and Regression with R
Last Updated: 06 August 2025
Correlation and regression analysis are two fundamental statistical techniques used to examine the relationships between variables. R Programming Language is a programming...
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Multiple linear regression analysis of Boston Housing Dataset using R
Last Updated: 23 July 2025
In this article, we are going to perform multiple linear regression analyses on the Boston Housing dataset using the R programming language.What is Multiple Linear Regress...
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How to use Different Algorithms using Caret Package in R
Last Updated: 26 June 2025
The caret (Classification And Regression Training) package in R provides a unified framework for training, tuning and evaluating a wide range of machine learning algorithm...
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Regression Tree with Simulated Data - rpart package
Last Updated: 19 April 2025
Regression trees are a type of decision tree used to predict continuous values. They work by splitting the data into smaller groups based on the input features, and then p...
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Feature Scaling Using R
Last Updated: 04 May 2026
Feature scaling is a data preprocessing technique used to adjust the range of numerical variables in a dataset. It ensures that different features are measured on a simila...
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How to Calculate MAE in R
Last Updated: 23 July 2025
Mean Absolute Error (MAE) is a metric used to measure the accuracy of a model by calculating the average of the absolute differences between the observed (actual) values a...
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Multiple Line Plots or Time Series Plots with ggplot2 in R
Last Updated: 23 July 2025
A multiple line plot or time series plot shows how values change over time, like crime rates or sales across years. In R, we use the ggplot2 package with the geom_line() f...
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Identify and Remove Duplicate Data in R
Last Updated: 30 April 2026
Duplicate data is a common issue in real-world datasets, where identical rows or repeated values appear more than once. If not handled properly, duplicates can affect anal...
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