https://github.com/aminkhavari78/abalone-data-set-
Abstract: Predict the age of abalone from physical measurements
https://github.com/aminkhavari78/abalone-data-set-
keras linear-models matplotlib neural-network num panda sklearn tensorflow
Last synced: 8 months ago
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Abstract: Predict the age of abalone from physical measurements
- Host: GitHub
- URL: https://github.com/aminkhavari78/abalone-data-set-
- Owner: AminKhavari78
- License: mit
- Created: 2022-09-17T10:38:52.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-09-18T11:14:33.000Z (about 3 years ago)
- Last Synced: 2025-01-19T06:17:08.847Z (9 months ago)
- Topics: keras, linear-models, matplotlib, neural-network, num, panda, sklearn, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 137 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Abalone-Data-Set-
Abstract: Predict the age of abalone from physical measurements
Data Set Information:
Predicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counting the number of rings through a microscope -- a boring and time-consuming task. Other measurements, which are easier to obtain, are used to predict the age. Further information, such as weather patterns and location (hence food availability) may be required to solve the problem.