Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/chaitanyac22/telecom-churn-prediction

In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.
https://github.com/chaitanyac22/telecom-churn-prediction

class-imbalance classification data-analytics data-cleaning data-manipulation evaluation-metrics feature-engineering hyperparameter-tuning logistic-regression machine-learning model-building model-evaluation over-sampling pca random-forest-classifier rfe smote statistics telecom xgboost

Last synced: 13 days ago
JSON representation

In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.

Awesome Lists containing this project