Exploring Linnerud Dataset
Physiological Variables of Linnerud Dataset
- Weight: Represents the weight of each individual in the dataset.
- Waist: Indicates the waist measurement of the participants.
- Pulse: Reflects the pulse rate of the individuals during the study.
Exercise Variables of Linnerud Dataset
- Chins: Denotes the number of chin-ups performed by each participant.
- Situps: Represents the number of sit-ups completed by the individuals.
- Jumps: Indicates the number of jumps performed by each participant.
Linnerud Dataset – Explain, Implementation, Application
The Linnerud dataset is a classic dataset in machine learning and statistics. It is a foundational resource for exploring the relationships between physical attributes and exercise performance. Understanding the dataset involves grasping its structure, content, and potential applications. In this article, we will see how to use the Linnerud dataset and how to load it with the help of sklearn.
Table of Content
- What is the Linnerud dataset?
- Characteristics of Linnerud Dataset
- Data Structure
- Exploring Linnerud Dataset
- Physiological Variables of Linnerud Dataset
- Exercise Variables of Linnerud Dataset
- How to Load Linnerud dataset?
- Loading Linnerud Dataset using Sklearn
- Application of Linnerud dataset
- Limitation of Linnerud Dataset
- Impact of Limitations
- Conclusion