Statistics

MLStation · Statistics

Statistics

The language of uncertainty: probability, inference and modeling, built from first principles.

Foundations

Descriptive StatisticsCenter, spread, shape and summarising data honestly. ProbabilityRandom variables, expectation and the rules of chance. DistributionsNormal, binomial, Poisson and friends, with intuition.

Inference

Statistical InferenceEstimation, confidence intervals and sampling. Hypothesis Testingp-values, power and choosing the right test. RegressionLinear, logistic and generalized linear models. Bayesian MethodsPriors, posteriors and probabilistic reasoning.

Applied

Time SeriesTrend, seasonality and forecasting. Experimentation & A/B TestingDesigning and reading controlled experiments.

Latest articles

Bayesian Statistics: Evidence, Belief & Learning by Updating

An end-to-end Bayesian case study: cancer screening, priors, likelihoods, posteriors, Bayesian vs frequentist inference, Naive Bayes classification, Bayesian regression…

Oct 3, 2026

Bayesian Thinking: Statistical Philosophy & Rational Updating

Probability as rational uncertainty: Bayesian reasoning, frequentist contrast, sparse evidence, zero-event risk, cognition, corporate decision systems and the frontier of…

Oct 3, 2026

Linear Regression: Building a House-Price Prediction Engine

An end-to-end regression case study: price modeling, least squares, multivariable regression, validation, interpretation, model persistence and an interactive pricing desk.

Oct 3, 2026

Logistic Regression: Probability, Odds & Classification

Learn logistic regression through a bank-fraud problem: probability, odds, log-odds, sigmoid curves, classification thresholds, precision, recall, F1 and business decisions.

Oct 3, 2026

Forecasting Hourly Store Traffic to Staff the Floor: Time Series from Math to Production 🛒

An end-to-end time series case study: forecast hourly customer arrivals at a grocery store, turn the forecast into a staffing plan with queueing theory, compare ARIMAX…

Oct 3, 2026

Descriptive Statistics: Data Have Shape

3 min

Statistics

Descriptive Statistics

Data Science

Build intuition for center, spread, skew, outliers and robust summaries—and see why EDA is the first statistical model check.

Oct 1, 2026