Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
I have been experimenting with neural networks these days. I have come across a general question regarding the activation function …
neural-network regression activation-functionI would like to force specific variables into glm regressions without fully specifying each one. My real data set has ~200 …
r main regression glmI'm trying to run a nonlinear multiple regression in R with a dataset, it has thousands of rows so I'll …
r regression nls non-linear-regressionI want to do a cross validation for LightGBM model with lgb.Dataset and use early_stopping_rounds. The following …
python regression cross-validation lightgbmI'm a R novice but I'm looking for a way to determine the three parameters A, B and C related …
r regression non-linear-regressionI have trying to setup a non-linear regression problem in Keras. Unfortunately, results show that overfitting is occurring. Here is …
keras regression regularizedtest data frame: > foo x y z 1 0.191 0.324 0.620 2 0.229 0.302 0.648 3 0.191 0.351 0.626 4 0.229 0.324 0.630 5 0.152 0.374 0.656 6 0.191 0.295 0.609 7 0.229 0.267 0.665 8 0.152 0.353 0.657 9 0.152 0.355 0.655 Two linear models: model1 <- lm(z~polym(x,y,degree = 1),…
r regression anovaI'm looking for a good implementation for logistic regression (not regularized) in Python. I'm looking for a package that can …
python regressionI'm trying to develop an application that would compute the same trend lines that excel does, but for larger datasets. …
java math statistics regressionI am trying to find a python package that would give an option to fit natural smoothing splines with user …
python regression spline smoothing