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Este conjunto de Jupyters forma parte de las prácticas de laboratorio de la Universitat de València. Se puede encontrar: preprocesado, selección y extracción de características, SVM, SVR, modelos basados en árbol y modelos de ensemble.

License: GNU General Public License v3.0

Jupyter Notebook 99.89% Python 0.11%
decision-trees ensemble-model extraction-feature machine-learning preprocessing selection-algorithm svm svr

machine-learning's Introduction

Hi, I'm Elena 👋🏽👩🏽‍💻

Perfil

✨Welcome to my Github profile!✨

I am a data scientist with a passion for analyzing real data and building predictive models. I love working in teams and creating accessible technology to elevate people. My profile is currently under construction. Some of the topics that I enjoy working with and that I will upload to my profile are:

  • Deep Learning
  • Machine Learning
  • Connectionist models
  • Natural Language Processing
  • Time Series
  • Internet of things
  • Bayesian models
  • Statistical inference
  • Linear models

Some tools I enjoy working with are Python, Rstudio, scikit-learn, Tensorflow, RShiny, Dash, SQL, PowerBI. In addition to some Big Data infrastructures such as Hadoop, MapReduce and Spark.

Find me around the web 🌍:

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