Does undersampling help to build a better model?
25771
Does down-sampling change logistic regression coefficients?
142959
Do we still need to do feature selection while using Regularization algorithms?
69676
Keras CNN with low/constant accuracies
91448
Should I normalize all data prior feeding the neural network models?
57060
Is normalizing the features always good for classification?
39155
How and why do normalization and feature scaling work?
111321
When should we discretize/bin continuous independent variables/features and when should not?
132899
When no model comparison, should I use REML vs ML?
68585
Tips and tricks to get started with statistical modeling?
126800
Why do we use multiple epochs and why does it not lead to over fitting
127904
Smoothing/interpolating across images in an ImageCollection to remove missing data
57829
Variables are often adjusted (e.g. standardised) before making a model - when is this a good idea, and when is it a bad one?
148679
Modelling with more variables than data points
16209
Importance of optimizing the correct loss function
53204
Can weight decay be higher than learning rate
93863
Uniform vs discrete Gaussian sampling in Ring learning with errors
84407
How to judge if a supervised machine learning model is overfitting or not?