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Explore and run machine learning code with Kaggle Notebooks | Using data from Boston House Prices The Boston Housing Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic.
A collection of datasets of ML problem solving. Contribute to selva86/datasets development by creating an account on GitHub.
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.
The Boston Housing dataset is a popular dataset used in machine learning and regression analysis. It contains information about various factors that can affect housing prices in the Boston area. The dataset includes features such as crime rate, average number of rooms per dwelling, nitric oxide concentration, and more.
This repository contains a comprehensive statistical analysis and visualization of the Boston Housing dataset. The project aims to provide insights into housing prices for informed decision-making. It includes exploratory data analysis, hypothesis testing, and regression analysis, all presented in a Jupyter notebook. - vitaliskim/Boston-Housing-Data-Analysis
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.
Classic Boston house-price dataset for ML practice. Boston Housing Dataset | Kaggle Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic.
content_copy. SyntaxError: Unexpected token < in JSON at position 4. Refresh. Boston Housing.
The Boston Housing Price Prediction project uses diverse features for machine learning models to forecast Boston home values. Employing algorithms like XGBoost and SVR, the project aims to optimize model performance and offer insights into real estate valuation. - ruju0901/bostonhousepricing
