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Data Science
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Dave
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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?

Why does data science see class imbalance as a problem for supervised learning when statistics does not?

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

Debunking wrong CLT statement

Chunk Tests

What are 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

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 to motivate the definition of $R^2$ in sklearn.metrics.r2_score?

Predicted R squared

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21
What are the disadvantages of accuracy?
Apr 18, 2022
answer
18
Rationale behind most published works in medical imaging trying to reduce false positives
May 23, 2019
question
15
Why does data science see class imbalance as a problem for supervised learning when statistics does not?
Jan 9
answer
14
If A and B are correlated and A and C are correlated. Why is it possible for B and C to be uncorrelated?
May 31, 2020
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12
Why using a partial derivative for the loss function?
Sep 23, 2022
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12
How to fit a math formula to data?
Dec 6, 2022
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11
Why does putting a 1/2 in front of the squared error make the math easier?
Jun 4, 2019
answer
8
Is Pearson correlation a good loss function?
Sep 16, 2022
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8
Which method is more suitable? overfitting of traning data or low accuracy?
Jan 10, 2022
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7
How to calculate accuracy of an imbalanced dataset
Sep 10, 2022
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