The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. 📊📈📉👨💻
-
Updated
Sep 9, 2022 - Jupyter Notebook
The tasks I was required to complete as a part of the BCG Open-Access Data Science & Advanced Analytics Virtual Experience Program are all contained in this repository. 📊📈📉👨💻
A major gas and electricity utility that supplies to SME. The power-liberalization of the energy market in Europe has led to significant customer churn.Building a churn model to understand whether price sensitivity is the largest driver of churn.Verifying the hypothesis of price sensitivity being to some extent correlated with churn.
This repository contains the tasks done as a part of BCGX virtual data science program.This program actually helps you learn about how analytics can be used to solve a real world business problem and would definitely enhance your skills and experience in this domain
PowerCo - a major gas and electricity utility is concerned about losing customers. Build a Predictive model to indicate churn riska Predictive model to indicate churn risk
Add a description, image, and links to the hypothesis-framing topic page so that developers can more easily learn about it.
To associate your repository with the hypothesis-framing topic, visit your repo's landing page and select "manage topics."