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Samuel Duan's Projects

clv-oreilly-webinar icon clv-oreilly-webinar

Repo that contains the supporting material for O'Reilly Webinar "An Intro to Predictive Modeling for Customer Lifetime Value" on Feb 28, 2017

fraud-detection icon fraud-detection

Deployed feature selection, engineering, and machine learning techniques, including decision tree, to identify employee’s features related to fraud in Python, achieving an accuracy of 86%.

kuwala icon kuwala

Kuwala is a tool for integrating third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demographics data b) Point of Interests from Open Street Map c) Google Popular Times

ml-from-scratch icon ml-from-scratch

Implement machine learning algorithms from scratch in Python, Scala and C++

openstreetmap-quality-analysis icon openstreetmap-quality-analysis

Validated, cleaned and transformed an unstructured map dataset of Raleigh using Python, analyzed user behavior and contribution patterns using SQL, and visualized the result using Tableau

statistical-learning icon statistical-learning

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

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