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CS584-Machine Learning Project
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Crime Prediction.ipynb Add files via upload Sep 20, 2017 Update Sep 20, 2017
communities-crime-clean.csv Add files via upload Sep 20, 2017
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Developed Machine Learning Process from data preprocessing, building different learning models, and finding more powerful threshold to predict the crime rate based on demographic and economic information among severals areas. Picked up 10 types of feature affecting seriously to the high crime area based on different measures.

Technology: Python 3.6, Scikit-learn 0.18.1.

Algorithm: Decision Tree Classifier, Gaussian Naive Bayes, Linear Support Vector Machine, Linear Regression, Ridge Regression, Polynomial Features, KNN, Polynomial SVC

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