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
#polr #mass #rstats #ordinalregression #linearregression #logisticregression
I have created a binary logistic regression module and used it to train a classifier for restaurant reviews. I would be very happy of your feedbacks!
#nlp #logisticregression #ai #MachineLearning
https://github.com/electricalgorithm/RestaurantReviewClassifier
#MachineLearning #AI #logisticregression #nlp
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
#statistics #research #data #datascience #dataanalytics #linreg #logreg #linearregression #logisticregression #dataresearch #sociology #psychology
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
#statistics #research #data #datascience #dataanalytics #linreg #logreg #linearregression #logisticregression #dataresearch #sociology #psychology
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
#apachespark #logisticregression #randomforest #notebook #jupyter #dataanalytics #datascience #python #orms #machinelearning #regression #classification #DataFrames #ml #PySpark #bigdata