Customer Churn Dataset
This dataset includes information about customers of a business, with labels indicating whether they churned (i.e., stopped using the service) or not. Attributes may include demographics, usage patterns, and customer satisfaction scores, which can be used to predict churn.
- Dataset Source: Customer Churn Dataset: Training, Customer Churn Dataset: Testing
- Labels: Binary values indicating whether a customer has churned (yes/no).
- Scope: Covers attributes like customer ID, gender, age, tenure, balance, and product usage.
- Size: Varies, typically contains thousands of records.
- 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
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