Data Science Tutorials

Learn what mean reversion is, how to identify mean-reverting behavior in time-series data, and how the concept is used in statistics, trading, and quantitative finance.

Learn what Open Interpreter is, how its open-source coding agent works, how to install and use it, and how its model and agent harness support compares with other AI coding tools.

Learn how to build a real-time support-call transcriber with the Grok Voice Transcribe 2.0 API in Python, then add diarization, Smart Turn, and 8 kHz phone audio.

Learn how to use the Claude Sonnet 5.5 API in Python. Build a reconciliation agent that earns write access mid-conversation, then test whether higher effort changes the result.

Build an AI incident response agent with GPT-6.1 Sol, the OpenAI Agents API, and a hosted sandbox to investigate incidents, run checks, and generate structured reports.

An overview of OpenHands, the open-source AI coding agent, covering its architecture, a local setup with Ollama, a hands-on bug fix, security and limitations, and how it compares to Claude Code, Cursor, and GitHub Copilot.

A likelihood ratio compares how well two hypotheses or models explain the same data, and this article covers the formula, a worked coin-flip example, the likelihood ratio test for nested regression models in Python and R, and diagnostic likelihood ratios.

A hands-on guide to GraphQL Code Generator that covers setup and configuration, generated TypeScript types and typed document nodes, integration with Apollo, urql, and graphql-request, and automation with watch mode and CI.

Stepwise regression automates predictor selection with forward, backward, and bidirectional search, but its simplicity comes with trade-offs in stability and overfitting.

Learn how to build a secure AI financial analyst with an OpenAI-hosted sandbox, from uploading financial data and running agent-driven analysis to generating and downloading reports, charts, and supporting data files.

Evaluate AI agents that use tools. Learn task completion, tool calling accuracy, refusal calibration, and injection testing, with code and a CI gate you can reuse.

Follow this Claude Opus 5.5 API tutorial to build a Python incident investigator with vision, programmatic tool calling, counterfactual replay, task budgets, structured outputs, and cost tracking.