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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.Data-Science-Topics
A survey was conducted to gauge an audience interest in different data science topics, namely: Big Data (Spark / Hadoop) Data Analysis / Statistics Data Journalism Data Visualization Deep Learning Machine Learning The participants had three options for each topic: Very Interested, Somewhat interested, and Not interested. 2,233 respondents completed the survey. The survey results have been saved in a csv file and can be accessed through this link: https://cocl.us/datascience_survey_data.Machine-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