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1. ml-hotel-cancellations ml-hotel-cancellations Public

   In the hotel industry, predicting if a customer will honor their reservation is crucial. This project uses a dataset on customer behavior to forecast cancellations. We apply XGBoost, an ensemble al…

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2. ml-cement-strength ml-cement-strength Public

   Predicting cement strength is key in the construction industry. This project uses a Random Forest model to classify cement mixtures as low or high strength based on a dataset of mixture characteris…

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3. ml-hotel-reservation-cancellation ml-hotel-reservation-cancellation Public

   En la industria hotelera, predecir si un cliente cumplirá con su reserva es fundamental. Este proyecto utiliza un conjunto de datos sobre el comportamiento de los clientes para anticipar cancelacio…

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4. ml-animal-detection ml-animal-detection Public

   Desarrollo de un modelo de deep learning para el conteo y detección de animales en manadas densas a partir de imágenes aéreas.

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5. ds-marketing-ab-testing ds-marketing-ab-testing Public

   Analyze the impact of Advertisement (ad) exposure vs. Public Service Announcement (psa) exposure on user conversion through A/B testing — covering statistical significance, attribution, and revenue…

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