Desarrollo de un modelo de Lead Scoring
| dc.contributor.advisor | Carrasco González, Ramón Alberto | |
| dc.contributor.author | Ureña Aguilera, Adrián | |
| dc.date.accessioned | 2023-06-16T14:49:37Z | |
| dc.date.available | 2023-06-16T14:49:37Z | |
| dc.date.issued | 2021-09 | |
| dc.description.department | Depto. de Estadística y Ciencia de los Datos | |
| dc.description.faculty | Fac. de Estudios Estadísticos | |
| dc.description.refereed | FALSE | |
| dc.description.status | submitted | |
| dc.eprint.id | https://eprints.ucm.es/id/eprint/68435 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14352/5175 | |
| dc.language.iso | spa | |
| dc.master.title | Máster en Minería de Datos e Inteligencia de Negocios | |
| dc.rights.accessRights | open access | |
| dc.subject.cdu | 519.2 | |
| dc.subject.cdu | 658.8 | |
| dc.subject.keyword | Marketing | |
| dc.subject.ucm | Estadística | |
| dc.subject.ucm | Marketing | |
| dc.subject.unesco | 1209 Estadística | |
| dc.subject.unesco | 5311.05 Marketing (Comercialización) | |
| dc.title | Desarrollo de un modelo de Lead Scoring | |
| dc.type | master thesis | |
| dcterms.references | Aplicación de algoritmos Random Forest y XGBoost en una base de solicitudes de tarjetas de crédito. (s. f.). Recuperado 18 de agosto de 2021, de http://www.scielo.org.mx/scielo.php?pid=S1405-77432020000300002&script=sci_arttext Ashish. (2018). Leads Dataset [Data Science Community]. Kaggle - Lead Scoring. https://kaggle.com/ashydv/leads-dataset Barnhard, A. (2020, septiembre 27). A True End-to-End ML Example: Lead Scoring. Medium. https://towardsdatascience.com/a-true-end-to-end-ml-example-lead-scoring-f5b52e9a3c80 Bhalla, D. (s. f.). Ensemble Methods in R: Practical Guide. ListenData. Recuperado 29 de agosto de 2021, de https://www.listendata.com/2015/08/ensemble-learning-stacking-blending.html Glm function | R Documentation. (s. f.). Recuperado 21 de febrero de 2021, de https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/glm Lead nurturing y lead scoring en el inbound marketing—InboundCycle.pdf. (s. f.). Recuperado 1 de enero de 2021, de https://cdn2.hubspot.net/hubfs/136661/1-Content/offer/Lead-nurturing-lead-scoring/Lead%20nurturing%20y%20lead%20scoring%20en%20el%20inbound%20marketing%20-%20InboundCycle.pdf Lead Scoring ( Logistic Regression ). (s. f.). Recuperado 1 de enero de 2021, de https://kaggle.com/ashydv/lead-scoring-logistic-regression Pipis, G. (2020, mayo 21). How to build Stacked Ensemble Models in R | R-bloggers. https://www.r-bloggers.com/2020/05/how-to-build-stacked-ensemble-models-in-r/ Porras Blanco, M. (2018, abril 6). ¿Qué es el Lead Scoring? ¿En qué consiste y para qué sirve? [Blog]. Semrush Blog. https://es.semrush.com/blog/que-es-lead-scoring/RPubs—Introducción al paquete Caret. (s. f.). Recuperado 21 de febrero de 2021, de https://rpubs.com/joser/caret Scikit-learn: Machine learning in Python—Scikit-learn 0.24.2 documentation. (s. f.). Recuperado 28 de agosto de 2021, de https://scikit-learn.org/stable/ Vega, J. B. M. (2020, agosto 12). Tutorial: XGBoost en Python. Medium. https://medium.com/@jboscomendoza/tutorial-xgboost-en-python-53e48fc58f73 | |
| dspace.entity.type | Publication | |
| relation.isAdvisorOfPublication | 658b3e73-df89-4013-b006-45ea9db05e25 | |
| relation.isAdvisorOfPublication.latestForDiscovery | 658b3e73-df89-4013-b006-45ea9db05e25 |
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