Details.
Manipulate large volumes of data, represent data and learn machine learning basics for prediction and complex analysis. Activities include creating environments, versioning with Git, predicting customer churn, identifying discriminating variables, anticipating revenue and grouping customers by category. Python, Jupyter, Pandas, Scikit-Learn, Plotly and Google Colab are taught.