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<!doctype html>
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<title>José González | Data Science</title>
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<h3>José Manuel González Rodríguez</h3>
<p>Data Science & Big Data</p>
<a href="contact.html" class="boxed-btn2">Contacta conmigo</a>
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<h3>Técnicas de análisis predictivo</h3>
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<span class="cont">Sobre Mí</span>
<h3>Análisis de datos<br>
e historial científico</h3>
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</div>
<p>Actualmente estoy estudiando el Máster de Big Data y Data Science para las aplicaciones en el
Comercio, la Empresa y las Finanzas, en la Universidad Complutense de Madrid. Tengo experiencia
en el análilsis científico de datos para las ciencias del comportamiento y la salud, habiendo
trabajado con grandes cantidades de datos para la elaboración de artículos científicos. </p>
<ul class="about_list">
<li>Métodos de causación: Ecuaciones Estructurales... </li>
<li>Métodos predictivos: Reg. múltiples, lineales, logísticas...</li>
<li>R, Python, Data Wrangling, Spark...</li>
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<span class="sub_heading2">Minería de datos</span>
<h4>Análisis de Series Temporales</h4>
<p>Análisis de datos mediante el modelo ARIMA de series temporales.
Uso de Autorregresiones Integradas de Medias Móviles para la
predicción del comportamiento de los datos en el tiempo</p>
<li>#R, #Forecast, #ggplot2, #Data_Trainning, #Series_Temporales </li>
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<span class="sub_heading2">Machine Learning</span>
<h4>Fraude Tarjetas de Crédito</h4>
<p>Aplicación en Python con Machine Learning para la detección de fraude
con tarjetas de crédito a través del uso de Pandas, Matplotlib, Numpy, Keras</p>
<li>#Python, #Pandas, #Keras, #numpy, #sklearn, #Machine_Learning </li>
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<span class="sub_heading2">Machine Learning</span>
<h4>Tweet Embedding</h4>
<p>Proyecto para el análisis de twitter y cuentas, análisis de seccuencias y preddicción
de resultados. Manipulación del overfitting en modelos del Deep Learning.</p>
<li>#Python, #Matplotlib, #Keras, #sklearn, #Machine_Learning </li>
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<span class="sub_heading2">Minería de datos</span>
<h4>Análisis logístico</h4>
<p>Generación de un Análisis de Regresión Logística tras la manipulación de datos o Data Mining,
además de usar métodos EDA para la limpieza del dataset.</p>
<li>#R, #Psych, #readxl, #carrplot, #tidyverse, #ggplot2, #Regresión </li>
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