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1. github.com › blob › masterdatasets/BostonHousing.csv at master · selva86/datasets - GitHub

   github.com › blob › master

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   A collection of datasets of ML problem solving. Contribute to selva86/datasets development by creating an account on GitHub.

   • scikit-learn/sklearn/datasets/data/boston_house_prices.csv at ...

     boston_house_prices.csv. Top. File metadata and controls....

2. www.kaggle.com › datasets › altavishBoston housing dataset - Kaggle

   www.kaggle.com › datasets › altavish

   Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

3. Videos

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     50:10

     youtube.com

     Exploratory Data Analysis: Boston housing Dataset (EDA) using Python

     21 Jun 2021

     2.6K views

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     2:5:22

     youtube.com

     Machine Learning Tutorial 1 - Linear Regression on Boston Housing Dataset | Machine Learning Basics

     9 Jun 2019

     44.8K views

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     13:16

     youtube.com

     Linear Regression using Boston Housing Dataset in Jupyter Notebook | Machine Learning | JAcademy

     8 Jun 2020

     10.2K views

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4. mirahari.github.io › bostonThe Boston Housing Dataset - GitHub Pages

   mirahari.github.io › boston

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   Understand the Boston House Price Dataset. Characteristics: Number of Instances: 506 . Number of Attributes: 13 numeric/categorical predictive. The Median Value (attribute 14) is the target. Attribute Information (in order): 1. CRIM per capita crime rate by town. 2. ZN proportion of residential land zoned for lots over 25,000 sq.ft. 3.

5. github.com › datasets › datascikit-learn/sklearn/datasets/data/boston_house_prices.csv at ...

   github.com › datasets › data

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   boston_house_prices.csv. Top. File metadata and controls. Preview. Code. Blame. 508 lines (508 loc) · 33.9 KB. Raw. scikit-learn: machine learning in Python. Contribute to scikit-learn/scikit-learn development by creating an account on GitHub.

6. www.cs.toronto.edu › ~delve › dataThe Boston Housing Dataset - Department of Computer Science ...

   www.cs.toronto.edu › ~delve › data

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   A dataset of 506 cases with 14 attributes related to housing in Boston Mass, collected by the U.S. Census Service. The dataset is used for assessment and has two prototasks: nox and price.

7. colab.research.google.com › github › jofavalBoston Housing Dataset

   colab.research.google.com › github › jofaval

   A Jupyter notebook that loads, cleans, and explores the Boston housing dataset, a popular regression problem. It shows the data distribution, correlation, and feature influence on the median value of homes.

8. People also ask

   What is the Boston Housing Data?

   • The name for this dataset is simply boston. It has two prototasks: nox, in which the nitrous oxide level is to be predicted; and price, in which the median value of a home is to be predicted The origin of the boston housing data is Natural. This dataset may be used for Assessment. The dataset contains a total of 506 cases.

   Boston Dataset | Department of Computer Science, University of Toron…

   www.cs.toronto.edu/~delve/data/boston/bostonDetail.html

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   How do I load a Boston Housing dataset?

   • # Load the Boston housing dataset data = pd.read_csv('housing.csv') prices = data['MEDV'] features = data.drop('MEDV', axis = 1) # Success print "Boston housing dataset has {} data points with {} variables each.".format(*data.shape) Boston housing dataset has 489 data points with 4 variables each.

   boston_housing - GitHub Pages

   m00nd00r.github.io/Boston-Housing/

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   How many data points are in the Boston Housing Data?

   • The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts. For the purposes of this project, the following preprocessing steps have been made to the dataset: 16 data points have an 'MEDV' value of 50.0.

   boston_housing - GitHub Pages

   m00nd00r.github.io/Boston-Housing/

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   Where did the Boston Housing data come from?

   • The dataset for this project originates from the UCI Machine Learning Repository. The Boston housing data was collected in 1978 and each of the 506 entries represent aggregated data about 14 features for homes from various suburbs in Boston, Massachusetts.

   boston_housing - GitHub Pages

   m00nd00r.github.io/Boston-Housing/

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9. m00nd00r.github.io › Boston-HousingPredicting Boston Housing Prices - GitHub Pages

   m00nd00r.github.io › Boston-Housing

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   This project uses Python libraries to explore and model the Boston housing dataset, which contains 489 data points with 4 features and 1 target variable. The project evaluates the performance of several machine learning algorithms and calculates the coefficient of determination, R2, as a metric.