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data-science

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Data science guidance for analytics & ML.

Data & Analytics#visualization#pandas#eda#data-science#machine-learning
AuthorPetriLahdelma
Version1.0.0
Installs0

System Documentation

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.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

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Please help me install this Skill:
Name: data-science
Download link: https://github.com/PetriLahdelma/digitaltableteur/archive/main.zip#data-science

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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