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Simple Salary Prediction Dataset
NLP / Natural Language Processing
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Free
About
This dataset is designed for demonstrating and practising simple linear regression, a fundamental concept in machine learning. It provides a clear relationship between years of experience and salary, making it highly suitable for educational purposes, such as courses on Machine Learning A to Z [1]. Its simplicity allows users to easily grasp the core principles of regression models.
Columns
- Sl. No. An identifier or serial number for each record [2].
- YearsExperience Represents the experience of an individual, measured in years [2]. The values range from 1.2 to 10.6 years, with a mean of 5.41 years [3].
- Salary Denotes the salary of the person [3]. Salary values range from £37,732 to £122,000, with a mean of £76,000 [3].
Distribution
The dataset is provided in CSV format [1]. It consists of 3 columns and contains 30 valid records, with no missing or mismatched data points for any of the columns [2, 3]. The file size is 664 Bytes [1].
Usage
This dataset is ideal for:
- Teaching and learning simple linear regression [1].
- Developing and testing basic machine learning models [1].
- Practising data cleaning and preparation techniques for linear models.
- Educational demonstrations in data science and analytics courses [1].
Coverage
The sources do not specify the geographic, time range, or demographic scope of the data.
License
CC0: Public Domain
Who Can Use It
This dataset is primarily intended for:
- Students learning machine learning, particularly linear regression.
- Educators for course materials and practical examples in data science.
- Aspiring data scientists looking for a straightforward dataset to build foundational models.
- Anyone interested in understanding the relationship between experience and salary through a simplified model.
Dataset Name Suggestions
- Salary Experience Regression Data
- Simple Salary Prediction Dataset
- Years Experience Salary Data
- ML A-Z Salary Data
Attributes
Original Data Source: Simple Salary Prediction Dataset
QUALITY