Publication:
Desarrollo de un modelo de Lead Scoring

Loading...
Thumbnail Image
Official URL
Full text at PDC
Publication Date
2021-09
Editors
Journal Title
Journal ISSN
Volume Title
Publisher
Citations
Google Scholar
Research Projects
Organizational Units
Journal Issue
Abstract
Description
Keywords
Citation
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