https://github.com/gustavohenriqueschmitz/ai-iris-flower-classification

A classification AI model, that basing on the width and length of the sepals and petals of an Iris flower, identify the specie. Between setosa, versicolor and virginica.
https://github.com/gustavohenriqueschmitz/ai-iris-flower-classification

machine-learning python3 tensorflow

Last synced: about 2 months ago
JSON representation

A classification AI model, that basing on the width and length of the sepals and petals of an Iris flower, identify the specie. Between setosa, versicolor and virginica.

• Host: GitHub
• URL: https://github.com/gustavohenriqueschmitz/ai-iris-flower-classification
• Owner: GustavoHenriqueSchmitz
• Created: 2023-11-19T18:41:16.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-01T17:22:35.000Z (3 months ago)
• Last Synced: 2024-11-01T18:24:36.668Z (3 months ago)
• Topics: machine-learning, python3, tensorflow
• Language: Python
• Homepage:
• Size: 8.79 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

        
# AI-Iris-Flower-Classification

## About the model

A classification AI model, that basing on the width and length of the sepals and petals of an Iris flower, identify the specie. Between setosa, versicolor and virginica.

## Used technologies

- Python

- TensorFlow

## How to test it?

**1 -** First clone the project:

```

git clone https://github.com/GustavoHenriqueSchmitz/Insurance-Costs-Prediction-AI.git

```

**2 -** First install the necessary dependencies:

```

pip install -r requirements.txt

```

After installing the required dependencies, to create the model run:

```

python train.py

```

To use the model run:

```

python main.py

```

## Author

**Gustavo Henrique Schmitz**

**Linkedin:** https://www.linkedin.com/in/gustavo-henrique-schmitz  

**Portfolio:** https://gustavohenriqueschmitz.com  

**Email:** [email protected]