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How to Use lm() Function in R to Fit Linear Models?
Last updated: 19 December 2021
In this article, we will learn how to use the lm() function to fit linear models in the R Programming Language.A linear model is used to predict the value of an unknown va...read more
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Apriori Algorithm in R Programming
Last updated: 20 August 2021
R Language
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Mann Whitney U Test in R Programming
Last updated: 28 December 2021
A popular nonparametric(distribution-free) test to compare outcomes between two independent groups is the Mann Whitney U test. When comparing two independent samples, when...read more
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Similar Topics
R Language
2k+ articles
Machine Learning
1.5k+ articles
Data Science
470+ articles
data-science
230+ articles
R-ggplot
190+ articles
R-plots
160+ articles
R-Statistics
110+ articles
R-Functions
80+ articles
R Data-science
30+ articles
R regression
10+ articles
LOOCV (Leave One Out Cross-Validation) in R Programming
Last updated: 20 April 2023
R Language
R Machine-Learning
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Cross-Validation in R programming
Last updated: 15 September 2021
R Language
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Bootstrap Confidence Interval with R Programming
Last updated: 10 July 2021
Bootstrapping is a statistical method for inference about a population using sample data. It can be used to estimate the confidence interval(CI) by drawing samples with re...read more
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Kolmogorov-Smirnov Test in R Programming
Last updated: 10 March 2023
The Kolmogorov-Smirnov Test is a type of non-parametric test of the equality of discontinuous and continuous a 1D probability distribution that is used to compare the samp...read more
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Exponential Smoothing in R Programming
Last updated: 09 March 2023
The Exponential Smoothing is a technique for smoothing data of time series using an exponential window function. It is a rule of the thumb method. Unlike simple moving ave...read more
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Root-Mean-Square Error in R Programming
Last updated: 22 July 2020
Root mean squared error (RMSE) is the square root of the mean of the square of all of the error. RMSE is considered an excellent general-purpose error metric for numerical...read more
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Random Forest Approach for Regression in R Programming
Last updated: 10 July 2020
Random Forest approach is a supervised learning algorithm. It builds the multiple decision trees which are known as forest and glue them together to urge a more accurate a...read more
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Polynomial Regression in R Programming
Last updated: 21 July 2021
Polynomial Regression is a form of linear regression in which the relationship between the independent variable x and dependent variable y is modeled as an nth degree poly...read more
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Regression Analysis in R Programming
Last updated: 05 July 2023
In statistics, Logistic Regression is a model that takes response variables (dependent variable) and features (independent variables) to determine the estimated probabilit...read more
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K-Means Clustering in R Programming
Last updated: 02 July 2020
K Means Clustering in R Programming is an Unsupervised Non-linear algorithm that cluster data based on similarity or similar groups. It seeks to partition the observations...read more
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Machine Learning
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Logistic Regression in R Programming
Last updated: 05 July 2023
Logistic regression in R Programming is a classification algorithm used to find the probability of event success and event failure. Logistic regression is used when the de...read more
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Machine Learning
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R Machine-Learning
Random Forest Approach in R Programming
Last updated: 05 June 2020
Random Forest in R Programming is an ensemble of decision trees. It builds and combines multiple decision trees to get more accurate predictions. It's a non-linear classif...read more
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