Student Performance Dataset
This dataset contains information about students’ academic performance, including attributes such as study time, previous grades, socioeconomic status, and demographic factors. It is useful for predicting student performance based on these factors.
- Dataset Source: Student Performance Dataset
- Labels: Continuous values representing grades or binary labels for passing/failing.
- Scope: Covers attributes such as study time, previous grades, parental education level, and socioeconomic status.
- Size: 1,000 samples, each with 33 attributes.
- Language: N/A (numerical and categorical 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