GitHub - mamta987/telecom-churn-case-study: Predicting the churn in the last month using the data (features) from the first three months and identify customers at high risk of churn and the main indicators of churn.

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Predicting the churn in the last month using the data (features) from the first three months and identify customers at high risk of churn and the main indicators of churn.

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Predicting the churn in the last month using the data (features) from the first three months and identify customers at high risk of churn and the main indicators of churn.

random-forest eda logistic-regression churn-prediction data-imbalance adaboost-classifier

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