Insurance Charges Dataset
This dataset includes information about medical charges billed by health insurance companies, with features like age, sex, BMI, children, smoker status, region, and the charges billed.
- Dataset Source: Insurance Charges Dataset
- Labels: Continuous values representing individual medical costs.
- Scope: Covers attributes like age, sex, BMI, number of children, smoker status, and region.
- Size: 1,338 samples, each with 7 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