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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.
Apr 7, 2018 · To associate your repository with the boston-housing-dataset topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
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.
Dec 7, 2015 · Add this topic to your repo. To associate your repository with the boston-housing-price-prediction topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Add this topic to your repo. To associate your repository with the boston-housing-dataset topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
To associate your repository with the boston-housing-dataset topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Mar 17, 2023 · To associate your repository with the boston-housing topic, visit your repo's landing page and select "manage topics." GitHub is where people build software. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects.
Machine Learning Udacity Nanodegree Program, Project 1, Predicting Boston Housing Prices python jupyter-notebook supervised-learning udacity-machine-learning-nanodegree boston-housing-dataset Updated Aug 29, 2017
To associate your repository with the boston-housing-dataset topic, visit your repo's landing page and select "manage topics." Learn more Footer
The Boston housing dataset contains 506 samples and 14 dimensions or attributes. We developed and tested distinct types of regression models such as linear, polynomial, Decision tree, Ridge and Lasso on this dataset. To compare the findings, we utilized cross-validation provided by Scikit Learn.
