Stock Market Dataset
This dataset contains historical stock market data for various companies, including attributes such as opening price, closing price, high, low, trading volume, and other financial indicators. It is useful for financial market predictions and trend analysis.
- Dataset Source: Stock Market Dataset
- Labels: Continuous values for attributes like closing price (could be a target variable).
- Scope: Covers multiple companies with attributes like opening price, highest price, lowest price, closing price, trading volume, and adjusted closing price.
- Size: Typically, contains thousands to millions of records depending on the dataset.
- 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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