Logistic Regression Explained: From Intuition to Application
17 min read
Logistic regression explained clearly, covering intuition, math, fitting, interpretation, evaluation, and pitfalls. A practical guide
Resources
Guides and articles on AI data analysis, agentic analytics, and getting more out of your data.
IRB Ready Self Service Data Analysis: Pre Registered and Local
For researchers handling IRB/GDPR data: pre register plans, run analyses locally, and export reproducible notebooks and audit ready reports.
Precision Recall Tradeoff Explained for Data Scientists
16 min read
Master the precision recall tradeoff with clear intuition, PR curves, threshold tuning, and business-driven metric choices
5 Steps to Make AI Generated Charts IRB Ready and Privacy First
Five steps to make AI generated charts IRB ready and privacy first: preregister, run locally, log every decision, pin the software environment, and...
Python Error Function a Practical Guide with Examples
15 min read
Learn the python error function with hands-on examples, multiple implementations, statistics use cases, and visualization tips for analysts and researchers.
Procurement: Reproducible Privacy First AI Analytics Vendor Evaluation
A procurement-ready playbook to evaluate AI analytics: ACE mapping, a weighted seven dimension scorecard, a four week PoC on your data, and privacy first...
10 Professional Report Templates for Every Use Case
28 min read
Compare 10 professional report templates by use case, format, audience, file type, customization effort, and PlotStudio workflow compatibility.
Researchers: 11 Manifest Fields for an IRB Ready Analysis Audit Trail
Learn the 11 manifest fields and provenance-first habits that make an analysis audit trail IRB and peer review ready while keeping sensitive data local.
What Is Homoscedasticity and Why It Matters
15 min read
Learn what is homoscedasticity, how to detect heteroscedasticity with residual plots, Breusch-Pagan and White tests, and the practical fixes analysts actually
3 Paths to Run LLMs Locally for Research Teams, Audit Ready Privacy
Three paths, Ollama to vLLM, plus hardware rules, commands, and verification to run 8B models locally with audit ready privacy for research teams.
Run AI Data Interpretation Locally in 5 Steps for Researchers
Practical steps for researchers to run AI data interpretation locally with pre registered analysis plans, reproducible exports, and verification checks.
Anomaly Detection Methods Explained for Analysts
18 min read
A practitioner's guide to anomaly detection methods — statistical, distance, density, isolation, and deep learning — with strengths, evaluation metrics