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lead-scoring

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Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

  • Updated Mar 17, 2021
  • Jupyter Notebook

Lead Scoring Analysis and Segmentation. A lead scoring analysis is conducted for an online teaching company with a low client conversion rate. The goals are to reverse this trend by using a machine learning model based on available company data and to categorize customers with an effective segmentation.

  • Updated Sep 12, 2024
  • Jupyter Notebook

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

  • Updated Sep 20, 2023
  • Jupyter Notebook

Lead scoring is a pivotal metric for assessing leads and has become a standard in contemporary CRM systems. Within this repository, we delve into how the lead scoring strategy helps solve customer conversion problem, exploring the application of various supervised machine learning models

  • Updated Nov 24, 2023

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