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Two Machine Learning Projects (Supervised & Unsupervised) | Natural Language Processing

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Machine Learning Projects

Data preprocessing, clusterization, classification & regression

Reporte resumen de TP1

  • Pre-procesamiento y creacion de training/testing sets

  • Clusterizacion con KMeans y analisis

  • Clasificacion de precios (bajo/medio/alto) con distintos modelos de machine learning

  • Regresion para aproximar precio de propiedades con distintos modelos

Natural Language Processing & sentiment analysis

Reporte resumen de TP2

  • NLP - Modelo de machine learning: Naive Bayes

  • NLP - Modelo de machine learning: Random Forest

  • NLP - Modelo de machine learning: XGBoost

  • NLP - Modelo de machine learning: Red Neuronal

  • NLP - Modelo de machine learning: Ensambles

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  • Jupyter Notebook 100.0%