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San-Francisco-Crime-Classification

Solution to the Kaggle competition

Objective: Using machine learning techniques to classify the class of the crime committed within the city of San Francisco, given the time and location it took place.

Dataset: San Francisco Crime Dataset (2015). Available from: https://www.kaggle.com/c/sf-crime/data

Tools Used: Python, Scikit learn libraries, Matplotlib libraries

Classfier Models: Gradient Boosting, Random Forest, KNN, AdaBoost, XGBoost.

Note: View .ipynb files using nbviewer - https://nbviewer.jupyter.org/

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Project for CS256 Topics in Artificial Intelligence

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