Boston Housing Dataset
The Boston Housing Dataset contains information collected by the U.S Census Service concerning housing in the Boston area. It includes various attributes such as the crime rate, the average number of rooms per dwelling, the proportion of non-retail business acres per town, and the pupil-teacher ratio by town.
- Dataset Source: Boston Housing Dataset
- Labels: Continuous values representing the median value of owner-occupied homes (in $1000s).
- Scope: Covers multiple neighborhoods in Boston with diverse attributes like crime rate, average number of rooms, and proximity to employment centers.
- Size: 506 samples, each with 14 attributes.
- Language: N/A (numerical data)
Dataset for Linear Regression
In this article, we will explore the Dataset for Linear Regression (LR). Linear regression is a fundamental statistical and machine learning technique used for predicting a continuous outcome variable based on one or more explanatory variables.
It assumes a linear relationship between the input variables and the target variable, making it a simple yet powerful tool for modeling and understanding data. Linear regression datasets play a crucial role in training and evaluating linear regression models.
We will examine the list of top Linear Regression datasets in this article.
Table of Content
- Boston Housing Dataset
- Advertising Dataset
- California Housing Dataset
- Auto MPG Dataset
- Diabetes Dataset
- Fish Market Dataset
- Wine Quality Dataset
- Insurance Charges Dataset
- Salary Dataset
- Energy Efficiency Dataset
- Stock Market Dataset
- Customer Churn Dataset
- Student Performance Dataset
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