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one-hot-encoder

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- Fundamentos de Estadística matemática. - Conceptos clave de Machine Learning. - Desarrollo de modelos y Algoritmos. -Proceso EDA y preprocesamiento de datos. -Tratamiento de Outliers y NaN. -Estandarización y Codificación de características para un modelo. - Entrenamiento de Modelo de ML. -Desarrollo de una APP a partir de un modelo.

  • Updated Jan 18, 2025
  • Jupyter Notebook

A machine learning model that predicts the outcome of IPL matches based on historical data and player performance. Built using Python and libraries like Pandas, NumPy, and scikit-learn. This project demonstrates the use of classification algorithms to predict match outcomes.

  • Updated Feb 24, 2025

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