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Data Science

Table of Contents

Introduction | Machine-learning | Busquedas | References

Introduction

My projects about applications of artificial intelligence to solve problems ☣

Machine Learning

This folder has some projects and examples about Data Science , some of them were taken from some courses, such as Udacity and Coursera. Moreover, it has some codes to resolve some Kaggle competitions.

In this you can find since the application of Bagging algorithms until the use of Deep Learning algorithms.

on the other hand, it has some presentations that I used in some classes related of Data Science.

Artificial Intelligence

This folder is focused to cover other areas from artificial intelligence, for example genetic programming and expert systems.

Exploratory Data Analysis

This folder has some examples about the process to data mining, data visualization techniques through some examples and projects.

References

  • Serrano, A. G. (2013). Inteligencia artificial: fundamentos, práctica y aplicaciones. Alfaomega.
  • Raschka, S. (2015). Python machine learning. Packt Publishing Ltd.
  • Wickham, H., & Grolemund, G. (2016). R for Data Science.
  • Udacity, Deep Learning.
  • Deep Learning Specialization. Deep Learning.ai, Coursera.
  • Udacity, Introduction to Machine Learning
  • VanderPlas, J. (2016). Python data science handbook: Essential tools for working with data. " O'Reilly Media, Inc.".
  • Kabacoff, R. (2015). R IN ACTION: Data analysis and graphics with R
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