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  1. Feature Analysis¶. I am using three features from the Boston housing dataset: 'RM', 'LSTAT', and 'PTRATIO'. For each data point (neighborhood): 'RM' is the average number of rooms among homes in the neighborhood.

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  4. New Dataset. tenancy. New Model. emoji_events. New Competition. corporate_fare. New Organization. No Active Events. Create notebooks and keep track of their status here.

  5. The Boston housing prices dataset has an ethical problem: as investigated in , the authors of this dataset engineered a non-invertible variable “B” assuming that racial self-segregation had a positive impact on house prices . Furthermore the goal of the research that led to the creation of this dataset was to study the impact of air quality but it did not give adequate demonstration of the validity of this assumption.

  6. New Dataset. tenancy. New Model. emoji_events. New Competition. corporate_fare. New Organization. No Active Events. Create notebooks and keep track of their status here.

  7. Sep 12, 2023 · 1. A Quick Overview of the Boston Housing Dataset. The Boston Housing dataset contains information collected by the U.S Census Service concerning housing in the area of Boston, Massachusetts. It has 506 entries with 14 attributes or features: CRIM: per capita crime rate by town; ZN: proportion of residential land zoned for lots over 25,000 sq.ft.

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