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.
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