Wine Quality Dataset
This dataset contains various chemical properties of wine (such as acidity, residual sugar, chlorides, and sulfur dioxide levels) and quality ratings. It is often used to predict wine quality based on these chemical properties.
- Dataset Source: Wine Quality Red Dataset, Wine Quality White dataset
- Labels: Continuous values representing the quality score of wine.
- Scope: Includes two datasets (red and white wine) with attributes such as acidity, residual sugar, and alcohol content.
- Size: Red wine: 1,599 samples; White wine: 4,898 samples. Each with 12 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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