This is a customer churn analysis project. Utilizing Scikit-Learn's library to apply Logistic Regression and Random Forest Classifiers on the data, we are able to discover the most important features correlating with customer churn. Then, we take these findings to inform our analysis and visualization via Tableau to share with our stakeholder.

Using Tableau Public to create amazing visualizations for NYC Bikeshare analysis in Jupyter notebook. Used pandas/python to create the code for analysis.