GitHub - LeondraJames/Customer-Churn-w-Logistic-Regression: Utilizing tools such as Spark, Python (PySpark), SQL, and Databricks, performed logistic regression on customers to predict those at a higher risk of churning, then applied the model to an unseen "new customers" data set.

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Utilizing tools such as Spark, Python (PySpark), SQL, and Databricks, performed logistic regression on customers to predict those at a higher risk of churning, then applied the model to an unseen "new customers" data set.

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Name		Name	Last commit message	Last commit date
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Logistic Regression.ipynb		Logistic Regression.ipynb
customer_churn.csv		customer_churn.csv
new_customers.csv		new_customers.csv