data-science

Guide analytics, data processing, and ML modeling with pandas and scikit-learn.

2|Updated Jun 2, 2025

Search Tags:#visualization #pandas #eda #data-science #machine-learning

One-click install

npx skills add https://github.com/PetriLahdelma/digitaltableteur --skill data-science-petrilahdelma

Or copy as Structured Prompt for Agent▼

Please help me install this Agent Skill.
Skill: data-science
Source: https://github.com/PetriLahdelma/digitaltableteur/tree/main/.claude/skills/data-science
Command: npx skills add https://github.com/PetriLahdelma/digitaltableteur --skill data-science-petrilahdelma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured guidance for analytics, data processing, visualization, statistics, ML modeling, and AI integration, incorporating Python (pandas, scikit-learn) and data pipelines.

Core Features & Use Cases

Data Processing: Pandas-based data loading, cleaning, transformation, and feature engineering.
EDA & Visualization: Descriptive statistics, distributions, correlations, and visualizations.
ML Workflow: Model training, evaluation, and feature importance.
Use Case: Build a small end-to-end pipeline from data ingestion to model evaluation.

Quick Start

Describe a plan to analyze a dataset and build a simple model using pandas and scikit-learn.