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Gloria's Projects

crimemap icon crimemap

we will explore San Francisco crime data in order to understand the relationship between civilian-reported incidents of crime and police-reported incidents of crime. Along the way we will use table intersection methods to subset our data, aggregation methods to calculate important statistics, and simple visualizations to understand crime trends.

customer-segmentation-using-rfm-model icon customer-segmentation-using-rfm-model

This notebook aims at analyzing the content of an E-commerce database that lists purchases made by ∼ 4000 customers over a period of one year (from 2010/12/01 to 2011/12/09).

drift-detection icon drift-detection

Project of IoT data stream mining course: Implementation of Concept Drift Algorithm (Adwin, DDM, Stream Volatility)

ml-coursera-python-assignments icon ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

ml2021-spring icon ml2021-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring

princetonalgorithms icon princetonalgorithms

Python implementations of selected Princeton Java Algorithms and Clients by Robert Sedgewick and Kevin Wayne

python icon python

All Algorithms implemented in Python

river icon river

🌊 Online machine learning in Python

tornado icon tornado

The Tornado :tornado: framework, designed and implemented for adaptive online learning and data stream mining in Python.

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