Crime Record Management and Crime Analysis
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Updated
Aug 21, 2018 - Java
Crime Record Management and Crime Analysis
this project aims to be an easy and reusable way to use supervised machine learning techniques
Prediction modelling for a pet health insurance company called Trupanion. Originally written for a job application as a data scientist at Trupanion, now being modified to play around with clustering algorithms.
Implementation of GAP, Gshare, PAG, PAP and tournament predictor with given memory constraints on sample traces in Java and achieved maximum accuracy of 97%.
A high performance, cross platform neural network designed to minimize training runtimes.
This project predicts community evolution in social networks
快速计算商旅轨迹 非线性坐标数据分析
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