Pradnya1208 / Telecom-Customer-Churn-prediction

Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Churn.

Date Created 2021-09-20 (3 years ago)

Commits 93 (last one 3 years ago)

Stargazers 70 (0 this week)

Watchers 2 (0 this week)

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RepositoryStats indexes 598,436 repositories, of these Pradnya1208/Telecom-Customer-Churn-prediction is ranked #376,041 (37th percentile) for total stargazers, and #486,919 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,500/17,648.

Pradnya1208/Telecom-Customer-Churn-prediction is also tagged with popular topics, for these it's ranked: python (#15,697/22385), machine-learning (#5,737/8090), pandas (#422/585), numpy (#385/545), classification (#370/544), sklearn (#93/125), feature-engineering (#86/113)

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numpy pandas plotly python roc-auc sklearn gridsearchcv classification cross-validation machine-learning model-evaluation feature-engineering customer-churn-analysis classification-algorithm customer-churn-prediction

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updated: 2024-12-24 @ 10:18pm, id: 408627181 / R_kgDOGFsn7Q