Data-Analysis & ML Portfolio

Bienvenido / Welcome 👋

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English

📄 About

A high-level showcase of three end-to-end data analysis & machine learning projects.
Reports (HTML) and trained models (.pkl) built locally.

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⚡ Quick Start

1. Clone

   git clone https://github.com/tu-usuario/data-analysis-ml-portfolio.git
   cd data-analysis-ml-portfolio

2. Create Conda env

   conda env create -f environment.yml
   conda activate data-ml-portfolio

3. (Optional) Install extras

   pip install -r requirements.txt

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🗂️ Project Structure

Figure: Data → Analysis → Modeling → Results

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├── analisis/            # HTML reports from notebooks
├── datasets/            # CSVs (Kaggle) & ingestion scripts
├── models/              # Trained models (.pkl)
├── projects/            # End-to-end examples
│   ├── Human-Personality/
│   ├── Steam-Store/
│   └── Used-Cars-Price/
├── environment.yml      # Conda environment spec
├── LICENSE              # MIT License
└── README.md            # This file

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🚀 Projects

• Human-Personality
• Steam-Store
• Used-Cars-Price

Each folder has its own README with:

1. Dataset & origin
2. Objective & models
3. Key metrics / insights
4. Usage instructions

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📜 License

MIT License – see LICENSE

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✉️ Contact

Español

📄 Acerca de

Muestra de alto nivel de tres proyectos completos de análisis de datos y machine learning. Reportes (HTML) y modelos entrenados (.pkl) desarrollados localmente.

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⚡ Inicio rápido

1. Clonar

   git clone https://github.com/tu-usuario/data-analysis-ml-portfolio.git
   cd data-analysis-ml-portfolio

2. Crear entorno Conda

   conda env create -f environment.yml
   conda activate data-ml-portfolio

3. (Opcional) Instalar extras

   pip install -r requirements.txt

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🗂️ Estructura de carpetas

Figura: Datos → Análisis → Modelado → Resultados

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├── analisis/            # Reportes HTML de los notebooks
├── datasets/            # CSVs (Kaggle) y scripts de ingestión
├── models/              # Modelos entrenados (.pkl)
├── projects/            # Ejemplos de proyecto end-to-end
│   ├── Human-Personality/
│   ├── Steam-Store/
│   └── Used-Cars-Price/
├── environment.yml      # Especificación de entorno Conda
├── LICENSE              # Licencia MIT
└── README.md            # Este archivo

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🚀 Proyectos

• Human-Personality
• Steam-Store
• Used-Cars-Price

Cada carpeta incluye su propio README con:

1. Dataset y origen
2. Objetivo y modelos
3. Métricas clave / insights
4. Instrucciones de uso

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📜 Licencia

Licencia MIT – ver LICENSE

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✉️ Contacto