Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
I am not a scientist, so please assume that I do not know the jargon of experienced programmers, or the …
python matplotlib 3d regression mayaviI am looking to take advantage of the awesome features in Plotly but I am having a hard time figuring …
r regression plotly r-plotly scatter3dI'm a huge football(soccer) fan and interested in Machine Learning too. As a project for my ML course I'm …
machine-learning neural-network regression predictionI have an example dataset below. train<-data.frame(x1 = c(4,5,6,4,3,5), x2 = c(4,2,4,0,5,4), x3 = c(1,1,1,0,0,1), x4 = c(1,0,1,1,0,0), x5 = c(0,0,0,1,1,1)) …
r regression linear-regression lm mlmI'm using a set of points which go from (-5,5) to (0,0) and (5,5) in a "symmetric V-shape". I'm fitting a model …
r regression lm spline bsplineI am new to R and I am trying to performa regression on my dataset, which includes e.g. monthly …
r regression dummy-variableI already know "xgboost.XGBRegressor is a Scikit-Learn Wrapper interface for XGBoost." But do they have any other difference?
python machine-learning scikit-learn regression xgboostIn order to combine 3 different estimators of the same variable I need to implement a multiple regression method in Java (…
java regression linear-regression least-squaresI am performing linear regression using the Lasso method in sklearn. According to their guidance, and that which I have …
python scikit-learn regression cross-validationI want to test whether all assumptions for my linear regression model hold. I did this manually and it seems …
regression interpretation