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This repository contains the data, code, and documentation for a project to analyze and predict churn in PowerCo's SME customer segment. The project includes data exploration, cleaning, and transformation, as well as the development and evaluation of a machine learning model to predict churn based on price sensitivity and other relevant factors.

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churnprediction customersegmentation datacleaning machinelearning predictivemodeling

churn_model's Introduction

  • Hi there, I’m Enock kyei👋

  • A highly motivated and versatile engineer, machine Learning and deep learning practitioner with 1.5+ years of combined internship and projects
  • I have concrete experience in executing data-driven solutions to increase efficiency, accuracy and utilization of internal data processing.
  • I occasionally write articles about topics I learn about on DEV.to
  • I also share my professional and academic journey on my linkedin
  • I’m currently learning everything deep learning and look forward collaborate on any real world project I find
  • [email protected] is always open

churn_model's People

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