Why and When Do We Need Standardization for Machine Learning
9488
When conducting multiple regression, when should you center your predictor variables & when should you standardize them?
8703
How to apply standardization/normalization to train- and testset if prediction is the goal?
108556
Standardization vs. Normalization for Lasso/Ridge Regression
150758
How does cross-validation overcome the overfitting problem?
139294
Difference in implementation of binary splits in decision trees
125349
Does the cross-entropy cost make sense in the context of regression?
57060
Is normalizing the features always good for classification?
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
121682
Standardize Training and Validation Data
9663
Is it a good practice to always scale/normalize data for machine learning?
73139
Flexible and inflexible models in machine learning
124161
Why is Bayes Classifier the ideal classifier?
123715
Why is it important to include a bias correction term for the Adam optimizer for Deep Learning?
139690
Which variables should I transform, center, and/or standardize in my data for Principal Component Analysis?
17254
Why use logistic regression instead of SVM?
14605
Why use gradient descent with neural networks?
65682
Why does universal generalization work? (the rule of inference)