Flower Predictor

A Machine Learning model to classify various flower types based on the Iris Dataset using Decision Tree Classification.
This project was made by Abdul Kadir for the Internship at Coding Samurai

How to use:

• Clone the repository

  git clone https://github.com/AK3847/Flower-Species-Prediction.git

• Navigate to the main folder and install the requirements:

  pip install -r requirements

• Run the main.py file:

  python main.py

• Either train a new model or use a pre-trained model:

• You can import a pre-trained model which should be in .joblib format

• You can also find accuracy of the trained model:

• You can save the new trained model in .joblib format:

  File name format: 'model_statenumber'

Python Library used:

numpy
pandas
scikit-learn
scipy
joblib