Machine Learning and Modeling


Applied Machine Learning Workshop (updated) (6)
About the Machine Learning and Modeling category (2)
Decision Tree Rpart() Summary Interpretation (6)
Adjusting posterior model estimated probabilities after re-balancing or applying case weight (5)
Logistic Regression model: " glm.fit: fitted probabilities numerically 0 or 1 occurred " (15)
Logistic Regression using glmnet(): accuracy measure from mean() returns 0 (2)
Credit Rating Prediction Model (6)
Calculations to include in resampling (3)
Forecasting - Combination of methods (4)
Custom metric in Keras when evaluating model performance? (2)
Classification Decision Tree Analysis: Balanced Tree Issue (1)
Prediction from knn model (2)
Cross Validation: Data Leakage for Group Aggregation (4)
Fatal Error when running Keras/Tensorflow with GPU (8)
Gaussian Process Regression (2)
Trouble with Mutil-Regression Model (9)
Deep Learning in R x Python (10)
Decision Tree Analysis: Odd Tree (7)
Keras not working with CloudML (1)
Logistic linear regression failed - wants to know other model which suits this (6)
Keras with PlaidML not working on Windows (3)
What is the R equivalent to AutoML? (9)
Finding Automatic feature interactions (10)
Using Autoencoders with Keras (2)
Deep dream example on plaidml (1)
3 how-to examples with code on deep learning in `R` using `Keras` and `TensorFlow` (1)
Mixed GLMM Model - Issues with using weights (2)
Two-class classification model with multi-type input data (1)
What is an appropriate model for the data where outcome variable is constant for a unit but the features are variable? (5)
Linear regression acceptance/ model fit (3)