UCI Machine Learning Repository - University of California ...
Nov 30, 1995 · 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.
Abalone Dataset - Kaggle
Refresh. Predicting the age of abalone from physical measurements.
Abalone Dataset - Papers With Code
Abalone Dataset | Papers With Code. Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. 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 ...
Predicting the ages of abalones using Linear Regression
In this notebook, we use linear regression to predict the ages of abalones. The dataset used in this short tutorial is available here: https://archive.ics.uci.edu/ml/datasets/abalone. This dataset provides measurements on physical characteristics of …
Abalone Age Classification Project Report — Abalone Age ...
Abalone Age Classification Project Report. This report is for the data analysis project for DSCI 522 (Data Science workflows); a course in the Master of Data Science program at the University of British Columbia. Content includes key exploratory data …
niladribit69/Abalone_dataset - GitHub
Abalone_dataset. 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.
GitHub - t1936s/Abalone-Age-Prediction: Exploratory Data ...
The Exploratory Data Analysis (EDA) for Abalone Age Prediction involves exploring and understanding the dataset used for predicting the age of abalones. Abalones are marine mollusks, and their age is typically estimated by counting the number of rings on their shells.