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Tareas, prácticas y proyectos de la materia Machine Learning

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Machine_Learning

Homework, practices and projects for the Machine Learning course.

Contenido

  • Act_1: Describing a DataSet.
  • Act_2: Data imputation and Normalization.
  • Act_3: K-Means and Affinity Propagation.
  • Act_4: Decision Tree.
  • Ex_1: K Nearest Neighbours (KNN).
  • Ex_F: Pricing Analytics.
  • Practicas: Includes all the extra activities.
  • DB: Contains all datasets used in this course.
  • utils: Contains libraries created for the activities.

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