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Segmenting-and-Clustering-Neighborhoods-in-Toronto
In this project I explore, segment, and cluster the neighborhoods in the city of Toronto.Chicago-Crime-Data-Analysis
We will be using three datasets that are available on the city of Chicago's Data Portal: Socioeconomic Indicators in Chicago - Chicago Public Schools - Chicago Crime DataMachine-Learning-Classifiers-Comparison
I use a historical dataset from previous loan applications, I clean the data, and apply different classification algorithms on the data. I use the following algorithms to build my models: k-Nearest Neighbour, Decision Tree, Support Vector Machine, Logistic Regression. The results is reported as the accuracy of each classifier, using the following metrics when these are applicable: Jaccard index, F1-score, LogLossLove Open Source and this site? Check out how you can help us