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BostonHousing.csv. A collection of datasets of ML problem solving. Contribute to selva86/datasets development by creating an account on GitHub.
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Various Datasets for Machine Learning Research & Teaching - datasets/boston_housing.csv at main · akmand/datasets
Using tensor flow and ANN to build a regression model to predict the price of the house in Boston from housing price data set. - raman-garg/boston_housing
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The dataset used in this project is the Boston Housing Dataset, which contains information collected by the U.S Census Service concerning housing in the area of Boston, Massachusetts. The dataset has 506 samples, with 13 input features and a target variable (MEDV), which represents the median value of owner-occupied homes in $1000's.
Boston house prices dataset. The dataset can be found in housing.csv. It contains information about house values for census tracts in Boston, Massachusetts from 1978 (variable MEDV = median value of owner-occupied houses). The goal is to predict the house values from the other attributes, which are: RM: average number of rooms among houses in ...
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