This is my project using Extreme Learning Machine (ELM) based on Guang-Bin Huang Paper
-
Updated
Jan 24, 2025 - Python
#
iris-flower
Here are 5 public repositories matching this topic...
Made to classify the different species of the Iris flower🌼
-
Updated
Sep 30, 2021 - Jupyter Notebook
This project uses the K-Nearest Neighbors (KNN) algorithm to classify Iris flowers based on their sepal and petal measurements. The dataset used in this project is the Iris Dataset, which includes 150 samples of Iris flowers, each with four features: sepal length, sepal width, petal length, and petal width.
knn k-nearest-neighbours iris-flowers iris-dataset knn-classification iris-flower-classification k-nearest-neighbor knn-model k-nearest-neighbors iris-classification knn-classifier iris-flower iris-flower-data knn-algorithm iris-flower-dataset iris-flower-category k-nearest-neighbor-classifier k-nearest-neighbors-algorithm
-
Updated
May 7, 2023 - Jupyter Notebook
Iris flower has three species; setosa, versicolor, and virginica, which differs according to their measurements. Now assume that you have the measurements of the iris flowers according to their species, and the task is to train a machine learning model that can learn from the measurements of the iris species and classify them.
python nlp data-science data machine-learning natural-language-processing machine-learning-algorithms ml data-visualization classification data-analysis iris knn flower flower-classification knn-classification iris-flower-classification iris-classification iris-flower
-
Updated
Mar 14, 2025 - Jupyter Notebook
Improve this page
Add a description, image, and links to the iris-flower topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the iris-flower topic, visit your repo's landing page and select "manage topics."