venky14/Machine-Learning-with-Iris-Dataset
Data Visualization and Machine Learning with Iris Dataset.
This project helps students and beginners explore how machine learning can categorize items based on their measurements. You input a dataset containing measurements of different iris flowers, and the project demonstrates how to visualize this data and then automatically sort the flowers into their correct species. It's designed for anyone new to data analysis or machine learning who wants to see these concepts in action with a well-known example.
No commits in the last 6 months.
Use this if you are learning about data visualization or basic machine learning classification and want to understand how measurements can be used to identify different categories.
Not ideal if you need to build a robust, production-ready machine learning model for complex, real-world datasets.
Stars
96
Forks
109
Language
Jupyter Notebook
License
—
Category
Last pushed
Dec 26, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/venky14/Machine-Learning-with-Iris-Dataset"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
amberkakkar01/IRIS-Flower-classification
This project is for the Identification of Iris flower species is presented
josetorronteras/mlp-keras-iris-dataset
Multilayer Perceptron (MLP) for multi-class classification for iris dataset.
kittupriyatham/Machine-Learning-Model-Deployment
This is a machine learning model deployment project of Iris classification model in a minimal UI...
Apaulgithub/oibsip_taskno1
This project showcases iris flower classification using machine learning. It's a...
FabianaCampanari/Iris-DataAnalysis-Seaborn-
🌸 The provided code snippet is a Python script that uses matplotlib to plot the numerical and...