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Data Science With Python

This repository includes all the practices and projects that I did to put in practice the knowledge of the course 'Ciencia de Datos 360 con Python' by Escuela De Datos Vivos.

Installation 📋

To run all the jupyter notebooks, install the libraries running this:

pip3 install -r requirements.txt

Content 📖

  • Exploratory data analysis
  • Data preparation
  • Predictive models (classification and regression)
  • Clustering
  • Dimensionality reduction
  • Models optimization, selection and validation

Libraries 📚

  • Pandas
  • Numpy
  • Seaborn
  • Matplotlib
  • Scikit-learn

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Practice and projects that I did to put in practice the knowledge of the course 'Ciencia de Datos 360 con Python'

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