Dave
Links I find helpful:
Binning Continuous Variables
What is the benefit of breaking up a continuous predictor variable?
Justification for low/high or tertiary splits in ANOVA
Class Imbalance
Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?
Profusion of threads on imbalanced data - can we merge/deem canonical any?
Classification Metrics (Related to Class Imbalance)
Why is accuracy not the best measure for assessing classification models?
Academic reference on the drawbacks of accuracy, F1 score, sensitivity and/or specificity
Central Limit Theorem
Chunk Tests
Deep Learning
Convolution operator in CNN and how it differs from feed forward NN operation?
Difference between loss and cost function in the specific context of MAE in multiple-regression?
Hypothesis Testing
Is normality testing 'essentially useless'?
Significance test for large sample sizes
Machine Learning
How to know that your machine learning problem is hopeless?
Imbalanced data to match reality with Random Forest?
Model Evaluation
Is my model any good, based on the diagnostic metric ($R^2$/AUC/ accuracy/RMSE etc.) value?
$R^2$
Interpreting nonlinear regression $R^2$
How arbitrary is adjusted r-squared as a measure of fit?
How to motivate the definition of $R^2$ in sklearn.metrics.r2_score?