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A package that streamlines business data analytics

Project description

bizkit

bizkit

bizkit is a Python package to help streamlining business analytics data mining tasks. This package provides methods for market basket analysis, anomaly detection, customer survival analysis, customer clustering, and uplifting analysis. Implemented algorithms include mlxtend.apriori, sklearn.IsolationForest, lifelines.KaplanMeierFitter, [], and []. bizkit focuses on ease of use by providing a well-documented and consistent interface. The results are visualized via bokeh library, d3fgraph library, and [].

Reference

Market basket analysis:

Anomaly detection:

Time-to-event analysis:

Customer clustering:

Uplift Modeling:

  • Simple Machine Learning Techniques To Improve Your Marketing Strategy: Demystifying Uplift Modelshttps://medium.com/datadriveninvestor/simple-machine-learning-techniques-to-improve-your-marketing-strategy-demystifying-uplift-models-dc4fb3f927a2

Author

Bassim Eledath, Lynn He, Christine Zhu, Amanda Ma

Project details


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Files for bizkit, version 0.0.4
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