Energy Efficiency Dataset
This dataset provides data on the energy efficiency of buildings, including features such as relative compactness, surface area, wall area, roof area, overall height, orientation, glazing area, and more. It is used to predict the heating and cooling load requirements of buildings. These datasets provide a variety of attributes and target variables suitable for practicing linear regression.
- Dataset Source: Energy Efficiency Dataset
- Labels: Continuous values representing heating and cooling loads (energy efficiency measures).
- Scope: Covers attributes such as relative compactness, surface area, wall area, and roof area.
- Size: 768 samples, each with 8 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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