#statstab #321 You Just Said Something Wrong About Logistic Regression by @Phdemetri

Thoughts: Odd, probabilities, and risk ratios. Coefficients in logistic regression are only one of these.

#logisticregression #oddsratio #riskratio #probability #odds #regression

https://dpananos.github.io/posts/2024-02-06-logit/

Statistics 1: ANOVA, Regression, and Logistic Regression | CoListy
Learn essential statistical techniques like ANOVA, regression, and logistic regression using SAS software. Perfect for beginners!
#freeonlinelearning #colisty #courselist #sas/stat #statistics1 #anova #regression #logisticregression #statisticalanalysis #predictivemodeling #sasprogramming #categoricaldata #dataanalysis #businessanalysts #researchers.

https://colisty.netlify.app/courses/statistics-1-anova-regression-and-logistic-regression/

Master SAS/STAT for Complex Statistical Analysis | CoListy
Prepare for SAS/STAT certification, focusing on variance analysis, regression, and model performance. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #linearregression #logisticregression #analysisofvariance #predictivemodeling #modelperformance #sascertification #dataanalysis #sasprofessionals #statisticalsoftware #modelpreparation

https://colisty.netlify.app/courses/sas-certification-practice-exam-statistical-business-analysis-using-sas-9-regression-and-modeling/

Intro to Statistical Analysis with SAS/STAT Software | CoListy
Learn t-tests, ANOVA, regression, and predictive modeling with SAS/STAT. Master essential statistical techniques for data analysis. | CoListy
#freeonlinelearning #colisty #courselist #sas/stat #statisticalanalysis #anova #regression #logisticregression #predictivemodeling #sasprogramming #procglmselect #datavisualization #categoricaldataanalysis #hypothesistesting #proclogistic

https://colisty.netlify.app/courses/statistics-1_-introduction-to-anova_-regression_-and-logistic-regression/

Integrate R Skills into SAS for Advanced Analysis | CoListy
Extend R programming skills to SAS. Learn advanced modeling, data manipulation, and cross-platform integration for enhanced analytics. | CoListy
#freeonlinelearning #colisty #courselist #sasandrintegration #sas/iml #sas/stat #dataanalysis #statisticalmodeling #matrixalgebra #logisticregression #anova #mixedmodels #programmingwithsas #rtosas

https://colisty.netlify.app/courses/sas_-programming-for-r-users/

Linking Inca Terraces With Landslide Occurrence In The Ticsani Valley, Peru
--
https://doi.org/10.3390/geosciences14110315 <-- shared paper
--
[takes me back to my engineering geology days in the Southern Hemisphere, including my thesis – with a healthy dose of spatial analysis and modeling – and all with a specific use; what is not to like?]
#GIS #spatial #mapping #landslides #massmovement #Inca #Andes #irrigation #terraces #Peru #SouthAmerica #confusionmatrix #logisticregression #geohazards #spatialanalysis #spatiotemporal #terracing #water #hydrology #surfaceflow #geomechanical #geotechnical #Ticsani #algorithm #processes #geostatistics #river #slope #agriculture #farming #soils #geology #risk #hazard #publicsafety #fem #model #modeling #rainfall #precipitation #permeability #groundwater #subsurfaceflow #instability #fluvial #erosion

Easy explanation of #logisticregression

https://www.youtube.com/watch?v=CuvIc8C3EDI

Dive into Hyperparameter Tuning for Logistic Regression! Learn to optimize your model's performance with GridSearchCV. Boost your machine learning skills now! #MachineLearning #LogisticRegression #Optimization

https://teguhteja.id/hyperparameter-tuning-logistic-regression-optimizing-model-performance/

Müssen es immer rechenintensive #deeplearning Modelle sein oder reichen für manche Anwendungsfälle auch leichtgewichtigere Alternativen, wie #xgboost, #catboost, #lightgbm oder gar klassische Methoden wie #SVMs und #logisticregression?

Auf der #M3 Konferenz in #Köln (vom 23.04.2025 bis zum 25.04.2024) werde ich diese Frage im Rahmen eines Vortrags diskutieren. Mehr Informationen unter: https://www.m3-konferenz.de/veranstaltung-21724-0-good-enough-for-biomedical-signals--wenn-klassische-ml-verfahren-besser-sind-als-neuronale-netze.html

This week's #KeyAlgorithms post #LogisticRegression

https://playfultechnology.co.uk/logistic-regression.html

@data_science

Today’s online lecture of my #BigData class is on using #PySpark for machine learning using Spark #ML and #dataframes for #classification and #regression. Explaining pipelines.#MachineLearning #orms #python #DataScience #dataanalytics #jupyter #notebook #logisticregression #orms

Data analysis is a cornerstone of modern decision-making, allowing organizations to gain valuable insights and make informed choices. As we delve deeper into the world of data, it becomes essential to understand various analytical techniques that can help us extract meaningful information from raw data. Today, I want to share Youtube clip

https://www.youtube.com/watch?v=0m-rs2M7K-Y

#DataAnalysis #MachineLearning #LinearRegression #MultipleLinearRegression #LogisticRegression #Analytics #DataScience

it would be funny to analyze how many scientific publications mistakenly used #linearRegression to fit a binary variable when they should have used #logisticRegression (or another classification method)

📢 Paper alert:
"Maximizing the forecasting skill of an ensemble model"
https://academic.oup.com/gji/article/234/1/73/6994524
#doi: 10.1093/gji/ggad020

An #ensemble model combines a set of (#probabilistic) #forecasts. To obtain model weights that maximize its skill, we use multivariate #LogisticRegression. This ensemble strategy is superior to weighting forecasts equally or according to their individual skill – as demonstrated for operational #earthquake #forecasting in Italy (15 years of data).

#seismology #NaturalHazard

I want to use the #polr function of the #MASS package. What will be the factor of increase in computation time between a normal linear regression & f.e. a polr computation with the same input variables and an output with 15 levels? (Or even an output with 200 levels?)
Or are there better ways to model something with that much output levels?
#rstats #ordinalregression
#linearregression #logisticregression

Comparing Linear and Logistic Regression.

Discussion on an entry level data science interview question.

(by Devesh Rajadhyax | Nov, 2022 | Towards Data Science)

https://towardsdatascience.com/comparing-linear-and-logistic-regression-11a3e1812212

#statistics #research #data #datascience #dataanalytics #linreg #logreg #linearregression #logisticregression #dataresearch #sociology #psychology @sociology

Today’s online Zoom lecture of my #BigData class is on using #PySpark for machine learning using Spark #ML and #dataframes for #classification and #regression. #MachineLearning #orms #python #DataScience #dataanalytics #jupyter #notebook #randomforest #logisticregression #apachespark