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Exploratory Data Analysis: Boston housing Dataset (EDA) using Python
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This is a short case study taken up by the publisher out of personal interest to explore Boston Housing data and analyze it by slicing and dicing it and present the findings with visualization. Although it uses a machine learning algorithm, however, the core objective remains focused in sharing insights with Visualization using Seaborn and Matplotlib. The underlying language used is Python and it involves extensive usage of Python libraries of Pandas and Numpy.
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