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Fitting a curve in R when the correlation is near zero
I wanted to know how much of a country’s daily electricity demand is just the weather, so I pulled five and a half years of Spanish grid data, lined it up against temperature, and ran cor(). It came...
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Log-log regression on count data in R: the zeros change the answer
The biggest tenth of US counties have 17 times more physicians’ offices per resident than the smallest tenth, and only 31% as many religious organisations. A scaling exponent is the single number that...
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Variance Inflation Factor in R
I kept running into the variance inflation factor used as a pass/fail gate: fit the model, call vif(), drop anything above 10. I wanted to know what that number actually buys you, so I put it on real...
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What your heteroscedasticity test is actually detecting
There is a routine that shows up almost everywhere linear regression is taught: fit the model, plot residuals against fitted values, run a Breusch-Pagan test, and if the p-value is small, transform the...
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Base R glm() vs tidymodels for Logistic Regression: What You Actually Gain
When you need to run a logistic regression in R, your modeling routine is probably three base functions: glm() to fit, predict() to score, and broom’s tidy() to turn the fit into a table of odds...
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Failure Pressure Prediction Using Machine Learning
In this post, the failure pressure will be predicted for a pipeline containing a defect based solely on burst test results and learning machine models. For this purpose, various Machine Learning models...
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Weight loss in the U.S. – An analysis of NHANES data with tidyverse
Based on a paper published in JAMA last year, the weight gain is increasing among US adults while there is no difference in the percentage of people that were trying to lose weight. The authors used...
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Machine Learning Results in R: one plot to rule them all! (Part 2 –...
Given the number of people interested in my first post for visualizing Classification Models Results, I’ve decided to create and share some new function to visualize and compare whole Linear Regression...
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Story of pairs, ggpairs, and the linear regression
In Linear regression statistical modeling we try to analyze and visualize the correlation between 2 numeric variables (Bivariate relation). This relation is often visualize using scatterplot. The aim...
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Logistic Regression with Python using Titanic data
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsLogistic RegressionMachine LearningPythonNear, far, wherever you are — That’s what...
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How to Incorporate ML.Net With Algorithmic Trading
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsLinear RegressionLogistic RegressionMachine LearningPythonAs you search about ML.Net on...
View ArticleLinear Regression using Python (Basics – 2)
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsLinear RegressionPythonThis is the continuation of my first post published here....
View ArticleLinear Regression using Python (Basics)
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsLinear RegressionPythonIn this post, I will show how to conduct a linear regression...
View ArticleLogistic Regression in R with Healthcare data: Vitamin D and Osteoporosis
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsAUCLogistic RegressionR ProgrammingIn my previous post, I showed how to run a linear...
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Linear Regression with Healthcare Data for Beginners in R
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsggplot2Linear RegressionNHANESR ProgrammingIn this post I will show how to build a...
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Logistic Regression with Python
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsHeatmapLogistic RegressionMachine LearningPredictionPythonLogistic regression is a...
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Linear Regression with Python
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsData VisualisationLinear RegressionMachine LearningPythonSimple linear regression lives...
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Bayesian Statistics: Analysis of Health Data
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsBayesian AnalysisLinear RegressionR Programmingt-testThe premise of Bayesian statistics...
View ArticleHow to do regression analysis for multiple independent or dependent variables
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsLinear RegressionLoopTips & TricksIn this post, I will show how to run a linear...
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How to Incorporate ML.Net With Algorithmic Trading
Are you interested in guest posting? Publish at DataScience+ via your RStudio editor.CategoryRegression ModelsTagsLinear RegressionLogistic RegressionMachine LearningPythonAs you search about ML.Net on...
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