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<title>Banco</title>
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<li class="chapter" data-level="1" data-path="introducción-y-objetivos.html"><a href="introducción-y-objetivos.html"><i class="fa fa-check"></i><b>1</b> Introducción y objetivos</a><ul>
<li class="chapter" data-level="1.1" data-path="introducción-y-objetivos.html"><a href="introducción-y-objetivos.html#introducción"><i class="fa fa-check"></i><b>1.1</b> Introducción</a></li>
<li class="chapter" data-level="1.2" data-path="introducción-y-objetivos.html"><a href="introducción-y-objetivos.html#objetivos"><i class="fa fa-check"></i><b>1.2</b> Objetivos</a></li>
</ul></li>
<li class="chapter" data-level="2" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html"><i class="fa fa-check"></i><b>2</b> ANÁLISIS EXPLORATORIO VARIABLES</a><ul>
<li class="chapter" data-level="2.1" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#importación-dataset"><i class="fa fa-check"></i><b>2.1</b> Importación dataset</a></li>
<li class="chapter" data-level="2.2" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#división-en-train-y-test"><i class="fa fa-check"></i><b>2.2</b> División en train y test</a></li>
<li class="chapter" data-level="2.3" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#estructura-y-resumen-de-train"><i class="fa fa-check"></i><b>2.3</b> Estructura y resumen de train</a></li>
<li class="chapter" data-level="2.4" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#exploratorio-univariante-de-las-variables-predictoras"><i class="fa fa-check"></i><b>2.4</b> Exploratorio univariante de las variables predictoras</a><ul>
<li class="chapter" data-level="2.4.1" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-age"><i class="fa fa-check"></i><b>2.4.1</b> Variable age</a></li>
<li class="chapter" data-level="2.4.2" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-balance"><i class="fa fa-check"></i><b>2.4.2</b> Variable balance</a></li>
<li class="chapter" data-level="2.4.3" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-job"><i class="fa fa-check"></i><b>2.4.3</b> Variable job</a></li>
<li class="chapter" data-level="2.4.4" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-marital"><i class="fa fa-check"></i><b>2.4.4</b> Variable marital</a></li>
<li class="chapter" data-level="2.4.5" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-education"><i class="fa fa-check"></i><b>2.4.5</b> Variable education</a></li>
<li class="chapter" data-level="2.4.6" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-default"><i class="fa fa-check"></i><b>2.4.6</b> Variable default</a></li>
<li class="chapter" data-level="2.4.7" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-housing"><i class="fa fa-check"></i><b>2.4.7</b> Variable housing</a></li>
<li class="chapter" data-level="2.4.8" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-loan"><i class="fa fa-check"></i><b>2.4.8</b> Variable loan</a></li>
<li class="chapter" data-level="2.4.9" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-contact"><i class="fa fa-check"></i><b>2.4.9</b> Variable contact</a></li>
<li class="chapter" data-level="2.4.10" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-mes"><i class="fa fa-check"></i><b>2.4.10</b> Variable mes</a></li>
<li class="chapter" data-level="2.4.11" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-day"><i class="fa fa-check"></i><b>2.4.11</b> Variable day</a></li>
<li class="chapter" data-level="2.4.12" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-duration"><i class="fa fa-check"></i><b>2.4.12</b> Variable duration</a></li>
<li class="chapter" data-level="2.4.13" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-campaign"><i class="fa fa-check"></i><b>2.4.13</b> Variable campaign</a></li>
<li class="chapter" data-level="2.4.14" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-pdays"><i class="fa fa-check"></i><b>2.4.14</b> Variable pdays</a></li>
<li class="chapter" data-level="2.4.15" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-poutcome"><i class="fa fa-check"></i><b>2.4.15</b> Variable poutcome</a></li>
<li class="chapter" data-level="2.4.16" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-previous"><i class="fa fa-check"></i><b>2.4.16</b> Variable previous</a></li>
<li class="chapter" data-level="2.4.17" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#variable-term_deposit-objetivo"><i class="fa fa-check"></i><b>2.4.17</b> Variable term_deposit (Objetivo)</a></li>
</ul></li>
<li class="chapter" data-level="2.5" data-path="análisis-exploratorio-variables.html"><a href="análisis-exploratorio-variables.html#exploratorio-multivariante"><i class="fa fa-check"></i><b>2.5</b> Exploratorio multivariante</a></li>
</ul></li>
<li class="chapter" data-level="3" data-path="etl.html"><a href="etl.html"><i class="fa fa-check"></i><b>3</b> ETL</a><ul>
<li class="chapter" data-level="3.1" data-path="etl.html"><a href="etl.html#tratamiento-de-datos-faltantes"><i class="fa fa-check"></i><b>3.1</b> Tratamiento de datos faltantes</a></li>
<li class="chapter" data-level="3.2" data-path="etl.html"><a href="etl.html#transformación-de-variables"><i class="fa fa-check"></i><b>3.2</b> Transformación de variables</a><ul>
<li class="chapter" data-level="3.2.1" data-path="etl.html"><a href="etl.html#train-poutcome"><i class="fa fa-check"></i><b>3.2.1</b> Train poutcome</a></li>
<li class="chapter" data-level="3.2.2" data-path="etl.html"><a href="etl.html#variable-previous-1"><i class="fa fa-check"></i><b>3.2.2</b> Variable previous</a></li>
<li class="chapter" data-level="3.2.3" data-path="etl.html"><a href="etl.html#variable-pdays-1"><i class="fa fa-check"></i><b>3.2.3</b> Variable pdays</a></li>
<li class="chapter" data-level="3.2.4" data-path="etl.html"><a href="etl.html#variable-campaign-1"><i class="fa fa-check"></i><b>3.2.4</b> Variable campaign</a></li>
<li class="chapter" data-level="3.2.5" data-path="etl.html"><a href="etl.html#variable-duration-1"><i class="fa fa-check"></i><b>3.2.5</b> Variable duration</a></li>
<li class="chapter" data-level="3.2.6" data-path="etl.html"><a href="etl.html#variable-month"><i class="fa fa-check"></i><b>3.2.6</b> Variable month</a></li>
<li class="chapter" data-level="3.2.7" data-path="etl.html"><a href="etl.html#variable-contact-1"><i class="fa fa-check"></i><b>3.2.7</b> Variable contact</a></li>
<li class="chapter" data-level="3.2.8" data-path="etl.html"><a href="etl.html#variable-balance-1"><i class="fa fa-check"></i><b>3.2.8</b> Variable balance</a></li>
<li class="chapter" data-level="3.2.9" data-path="etl.html"><a href="etl.html#variable-age-1"><i class="fa fa-check"></i><b>3.2.9</b> Variable age</a></li>
</ul></li>
<li class="chapter" data-level="3.3" data-path="etl.html"><a href="etl.html#selección-de-variables"><i class="fa fa-check"></i><b>3.3</b> Selección de variables</a></li>
</ul></li>
<li class="chapter" data-level="4" data-path="modelado.html"><a href="modelado.html"><i class="fa fa-check"></i><b>4</b> Modelado</a></li>
<li class="chapter" data-level="5" data-path="evaluación.html"><a href="evaluación.html"><i class="fa fa-check"></i><b>5</b> Evaluación</a></li>
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<h1 class="title">Banco</h1>
<p class="author"><em>Carlos, Alberto y Juan Ramón</em></p>
<p class="date"><em>23/11/2020</em></p>
</div>
<div id="introducción-y-objetivos" class="section level1">
<h1><span class="header-section-number">1</span> Introducción y objetivos</h1>
<div id="introducción" class="section level2">
<h2><span class="header-section-number">1.1</span> Introducción</h2>
<p>Este documento es el informe de la práctica de Fundamentos de análisis de datos del Máster en Data Science de la URJC. El proyecto aquí presentado parte del <a href="https://www.kaggle.com/kidoen/bank-customers-data">dataset</a> público en Kaggle. Dicho dataset contiene un conjunto de registros correspondientes a una campaña de marketing de un banco portugués. El objetivo de este dataset es el de si un cliente va a contratar o no un depósito.</p>
<p>Al ser un problema de clasificación se ha optado por utilizar un modelo de regresión logística.</p>
<p>El control de versiones y trabajo colaborativo se ha desarrollado es <a href="https://github.com/carlosGarciaHe/practicaFundamentosMasterDS">este repositorio</a> de git.</p>
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<div id="objetivos" class="section level2">
<h2><span class="header-section-number">1.2</span> Objetivos</h2>
<ol style="list-style-type: decimal">
<li><p>Creación de un modelo de regresión logística para predecir la probabilidad de contratación de un depósito</p></li>
<li><p>Realizar una evaluación honesta del modelo, es decir, utilizar métricas de evaluación fiables y apartar un conjunto de test que no pueda verse afectado directa (utilizándolo para entrenamiento) o indirectamente (tomando decisiones en ETL o tuning con él).</p></li>
<li><p>Aplicar alguna técnica de imputación de datos con los missing values.</p></li>
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