AliAmini93 / Telecom-Churn-Analysis

Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights for targeted customer retention.

AliAmini93
AliAmini93
Date Created 2024-08-12 (6 months ago)
Commits 16 (last one 6 months ago)
Stargazers 20 (0 this week)
Watchers 1 (0 this week)
Forks 4
License unknown
Ranking

RepositoryStats indexes 622,366 repositories, of these AliAmini93/Telecom-Churn-Analysis is ranked #620,939 (0th percentile) for total stargazers, and #560,851 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #18,583/18,620.

AliAmini93/Telecom-Churn-Analysis is also tagged with popular topics, for these it's ranked: machine-learning (#8,300/8311),  datascience (#171/171),  feature-engineering (#114/114),  business-intelligence (#105/105)

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Recent Commit History

16 commits on the default branch (main) since jan '22

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The only known language in this repository is Jupyter Notebook

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updated: 2025-02-23 @ 07:25am, id: 841546964 / R_kgDOMij81A