Statistics & Machine Learning, one BAM at a time.
Based on Josh Starmer's StatQuest YouTube playlists — the best free ML and stats education on the internet.
Visualizing data shape, spread, and frequency
Measures of central tendency and when to use each
Quantifying spread and variability in data
The bell curve: properties, z-scores, and applications
Rules, events, independence, and conditional probability
Null hypotheses, test statistics, and decision rules
What p-values mean and common misconceptions
Interval estimation and what 95% really means
One-sample, two-sample, and paired t-tests
Comparing means across multiple groups
Fitting lines, residuals, R², and assumptions
Pearson r, Spearman, and correlation vs causation
Priors, likelihoods, posteriors, and Bayes' theorem
Why sample means become normal and why it matters
Goodness of fit and tests of independence
Binary outcomes, log-odds, and odds ratios
Diagnostic test performance and ROC curves
Resampling methods for estimation and inference
Family-wise error, FDR, Bonferroni, and Benjamini-Hochberg
Joint variability and standardized relationships
I'm Tulika — a learner in ML, NLP and stats. I built this for myself while going through Josh's playlists because watching videos and actually retaining concepts are two very different things.
BAM! Quiz is a free, fan-made study tool built around Josh Starmer's StatQuest YouTube channel — hands down the clearest explanation of statistics and machine learning on the internet. If you find this useful, go subscribe to StatQuest and consider supporting Josh directly.
This project is not affiliated with Josh Starmer or StatQuest. All question content is original, inspired by the concepts taught across his playlists.