Metadata-Version: 2.1
Name: bizkit
Version: 0.0.4
Summary: A package that streamlines business data analytics
Home-page: https://github.com/pypa/bizkit
Author: Bassim Eledath, Lynn He, Christine Zhu, Amanda Ma
Author-email: bassimfaizal@gmail.com
License: UNKNOWN
Description: 
        # <img alt="bizkit" src="logo.jpg" height="300" width="300">
        
        
        # 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:
        - Introduction to Market Basket Analysis in Python https://pbpython.com/market-basket-analysis.html
        - A Gentle Introduction on Market Basket Analysis — Association Rules https://towardsdatascience.com/a-gentle-introduction-on-market-basket-analysis-association-rules-fa4b986a40ce
        
        
        
        Anomaly detection:
        - Anomaly Detection Principles and Algorithms (2017) by Kishan G. Mehrotra, Chilukuri K. Mohan, HuaMing Huang
        - Sklearn IsolationForest: https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html
        
        
        Time-to-event analysis:
        - Lifelines https://lifelines.readthedocs.io/en/latest/
        
        
        Customer clustering:
        - Understanding K-means Clustering in Machine Learning https://towardsdatascience.com/understanding-k-means-clustering-in-machine-learning-6a6e67336aa1
        
        
        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
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
