California Housing Dataset
Derived from the 1990 U.S. Census, this dataset includes various attributes for California districts, such as median house value, median income, housing median age, total rooms, total bedrooms, population, households, latitude, and longitude.
- Dataset Source: California Housing Dataset
- Labels: Continuous values representing the median house value (in $1000s).
- Scope: Includes various attributes of districts in California such as median income, house age, and geographical coordinates.
- Size: 20,640 samples, each with 9 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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