Regression analysis is a collection of statistical techniques for modeling and predicting one or multiple variables based on other data.
This is a beginner question on regularization with regression. Most information about Elastic Net and Lasso Regression online replicates the …
python statistics machine-learning regression scikit-learni am trying to do hyperparemeter search with using scikit-learn's GridSearchCV on XGBoost. During gridsearch i'd like it to early …
python-3.x scikit-learn regression data-science xgboostI have been struggling a while on that; In short, I can't find the equations Excel uses for R2. Here …
excel matlab regression curve-fitting trendlineI'm using the GROWTH (or LINEST or TREND or LOGEST, all make the same trouble) function in Excel 2003. But there …
excel statistics excel-2003 regressionIn least-squares models, the cost function is defined as the square of the difference between the predicted value and the …
machine-learning data-mining regressionI haven't been able to find an answer to this question, largely because googling anything with a standalone letter (like "…
r regression formula polynomialsI have a dataset X which consists N = 4000 samples, each sample consists of d = 2 features (continuous values) spanning back t = 10 …
python tensorflow regression lstmI've got a dataset with 1000 observations and 76 variables, about twenty of which are categorical. I want to use LASSO on …
r regression glmnet lasso-regression larsI'm trying to understand how to use categorical data as features in sklearn.linear_model's LogisticRegression. I understand of course …
python scikit-learn regression data-modeling logistic-regressionI've used lm() to fit multiple regression models, for multiple (~1 million) response variables in R. Eg. allModels <- lm(…
r regression linear-regression lm mlm