/Seeds-Dataset-UCI

A dataset from the UCI Machine Learning Repository featuring geometrical measurements of wheat kernels for classification tasks in machine learning (Used unsupervised learning).

Primary LanguageJupyter Notebook

Seeds Dataset (UCI)

This repository contains the Seeds Dataset from the UCI Machine Learning Repository. The dataset includes measurements of geometrical properties of kernels belonging to three different varieties of wheat.

Dataset Description

The dataset consists of 210 samples and 7 attributes:

  • Area
  • Perimeter
  • Compactness
  • Length of kernel
  • Width of kernel
  • Asymmetry coefficient
  • Length of kernel groove

Files

  • Seeds_UCI_Dataset.ipynb: Jupyter Notebook containing data analysis and visualization.
  • seeds.zip: Zipped file containing the dataset in CSV format.
  • README.md: This file.

Usage

  1. Clone the repository: 
    git clone https://github.com/Itskindastrange/Seeds-Dataset-UCI.git
  2. Unzip the dataset file: 
    unzip seeds.zip
  3. Open and run the Jupyter Notebook: 
    jupyter notebook Seeds_UCI_Dataset.ipynb

References

Credits

This project was inspired by the Machine Learning course by Kylie Ying and FreeCodeCamp. You can find more about their work here: