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Explore and run machine learning code with Kaggle Notebooks | Using data from Boston House Prices.
Analyse and explore the Boston house price data; Split the data for training and testing; Run a Multivariable Regression; Evaluate how the model's coefficients and residuals; Use data transformation to improve the model performance; Use the model to estimate a property price
A collection of datasets of ML problem solving. Contribute to selva86/datasets development by creating an account on GitHub.
This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. It was obtained from the StatLib archive ( http://lib.stat.cmu.edu/datasets/boston ), and has been used extensively throughout the literature to benchmark algorithms.
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This dataset contains information collected by the U.S Census Service concerning housing in the area of Boston Mass. It was obtained from the StatLib archive (http://lib.stat.cmu.edu/datasets/boston), and has been used extensively throughout the literature to benchmark algorithms.
Boston Housing Analysis. This repository contains a comprehensive analysis of the Boston Housing dataset using various regression models, including Linear Regression, Lasso Regression, and Ridge Regression.
The Boston housing dataset is built into scikit-learn, so we can import it easily, as follows. [ ] from sklearn.datasets import load_boston. boston = load_boston() But the boston object...
Oct 5, 2018 · We will take the Housing dataset which contains information about different houses in Boston. This data was originally a part of UCI Machine Learning Repository and has been removed now. We can also access this data from the scikit-learn library.
