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 (2 years ago)

Commits 93 (last one 2 years ago)

Stargazers 59 (0 this week)

Watchers 1 (0 this week)

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RepositoryStats indexes 534,551 repositories, of these Pradnya1208/Telecom-Customer-Churn-prediction is ranked #387,097 (28th percentile) for total stargazers, and #497,194 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #9,590/14,929.

Pradnya1208/Telecom-Customer-Churn-prediction is also tagged with popular topics, for these it's ranked: python (#16,001/20447), machine-learning (#5,773/7371), pandas (#419/545), numpy (#404/509), classification (#376/507), sklearn (#98/120), feature-engineering (#84/107)

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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: 2024-06-17 @ 05:26am, id: 408627181 / R_kgDOGFsn7Q