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Data Analysis on the GAYBORHOODS dataset
During my second year of university, I was tasked with completing a data analysis project on a dataset of my choosing. This included data cleaning, exploratory data analysis, data visualization, & presentation. I have since added a wide variety of skills to my toolkit as a data scientist - such as constructing advanced linear regression models, classification models, decision trees, & simple neural networks. So I have utilized these tools while revisiting this dataset in search of the insights I missed the first time - of which a pleasing number revealed themselves
About The Project
The project was built in python, & focus on Pandas/Seaborn for data frames & visualization, & then remastered with StatsModels & SciKit-Learn for the ML models, as well as Numpy & MatPlotLib as pre req for the others