<p>Links I find helpful:</p>
<p><strong>Binning Continuous Variables</strong></p>
<p><a href="https://stats.stackexchange.com/questions/68834/what-is-the-benefit-of-breaking-up-a-continuous-predictor-variable">What is the benefit of breaking up a continuous predictor variable?</a></p>
<p><a href="https://stats.stackexchange.com/questions/41227/justification-for-low-high-or-tertiary-splits-in-anova/41233#41233">Justification for low/high or tertiary splits in ANOVA</a></p>
<p><strong>Class Imbalance</strong></p>
<p><a href="https://stats.stackexchange.com/questions/357466/are-unbalanced-datasets-problematic-and-how-does-oversampling-purport-to-he">Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?</a></p>
<p><a href="https://stats.meta.stackexchange.com/questions/6349/profusion-of-threads-on-imbalanced-data-can-we-merge-deem-canonical-any">Profusion of threads on imbalanced data - can we merge/deem canonical any?</a></p>
<p><strong>Classification Metrics (Related to Class Imbalance)</strong></p>
<p><a href="https://stats.stackexchange.com/questions/312780/why-is-accuracy-not-the-best-measure-for-assessing-classification-models">Why is accuracy not the best measure for assessing classification models?</a></p>
<p><a href="https://stats.stackexchange.com/questions/603663/academic-reference-on-the-drawbacks-of-accuracy-f1-score-sensitivity-and-or-sp">Academic reference on the drawbacks of accuracy, F1 score, sensitivity and/or specificity</a></p>
<p><strong>Central Limit Theorem</strong></p>
<p><a href="https://stats.stackexchange.com/questions/473455/debunking-wrong-clt-statement">Debunking wrong CLT statement</a></p>
<p><strong>Chunk Tests</strong></p>
<p><a href="https://stats.stackexchange.com/questions/27429/what-are-chunk-tests">What are chunk tests?</a></p>
<p><strong>Deep Learning</strong></p>
<p><a href="https://stats.stackexchange.com/questions/271198/convolution-operator-in-cnn-and-how-it-differs-from-feed-forward-nn-operation/409172#409172">Convolution operator in CNN and how it differs from feed forward NN operation?</a></p>
<p><strong>Hypothesis Testing</strong></p>
<p><a href="https://stats.stackexchange.com/questions/2492/is-normality-testing-essentially-useless">Is normality testing 'essentially useless'?</a></p>
<p><a href="https://stats.stackexchange.com/questions/35470/significance-test-for-large-sample-sizes/602422#602422">Significance test for large sample sizes</a></p>
<p><strong>Model Evaluation</strong></p>
<p><a href="https://stats.stackexchange.com/a/414350/247274">Is my model any good, based on the diagnostic metric (<span class="math-container">$R^2$</span>/AUC/ accuracy/RMSE etc.) value?</a></p>
<p><strong><span class="math-container">$R^2$</span></strong></p>
<p><a href="https://stats.stackexchange.com/q/551915/247274">Interpreting nonlinear regression <span class="math-container">$R^2$</span></a></p>
<p><a href="https://stats.stackexchange.com/questions/590199/how-to-motivate-the-definition-of-r2-in-sklearn-metrics-r2-score">How to motivate the definition of <span class="math-container">$R^2$</span> in <code>sklearn.metrics.r2_score</code>?</a></p>
<p><a href="https://stats.stackexchange.com/questions/347107/predicted-r-squared/577858#577858">Predicted R squared</a></p>

Dave