Data & Analytics · Python · By jeremylongshore

Process split datasets into training, validation, and testing sets for ML model development.

jeremylongshore/tons-of-skills-marketplace

Process automate data cleaning, transformation, and validation for ML tasks.

jeremylongshore/tons-of-skills-marketplace

Implement machine learning experiment tracking using MLflow or Weights & Biases.

jeremylongshore/tons-of-skills-marketplace

Wrap the official Bright Data Python SDK and REST contracts behind a typed, testable client boundary.

jeremylongshore/tons-of-skills-marketplace

Install the current Firecrawl Node or Python SDK, configure Cloud authentication, and verify package provenance and secret injection.

jeremylongshore/tons-of-skills-marketplace

Build a typed, testable Firecrawl v2 adapter for Node or Python with current methods, explicit options, errors, pagination, and dependency control.

jeremylongshore/tons-of-skills-marketplace

Design and validate a Foundry Python transform pipeline with explicit datasets, compute choice, expectations, and incremental semantics.

jeremylongshore/tons-of-skills-marketplace

Production-ready Fathom API client patterns in Python and TypeScript.

jeremylongshore/tons-of-skills-marketplace