Diabetes Dataset
This dataset includes medical predictor variables and one target variable, a quantitative measure of disease progression one year after baseline. It is used to predict the progression of diabetes based on factors such as age, sex, BMI, blood pressure, and six blood serum measurements.
- Dataset Source: Diabetes Dataset
- Labels: Continuous values representing disease progression after one year.
- Scope: Includes attributes like age, sex, BMI, blood pressure, and blood serum measurements.
- Size: 442 samples, each with 10 attributes.
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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