StreamlitRFC

ML Application predicting flower species based on features entered by the user.

1. Uses Scikit-Learn's Iris dataset to train a RandomForestClassifier.
2. Random Forest Classifier model used for prediction.
3. Provides a web-based UI where users can adjust feature values using sliders.
4. Predict the species of the Iris flower based on the user’s input.

How to import and Run in your system

1. import py and requirement.txt file
2. First, install all the requirements and then run py file [pip install -r requirements.txt]
3. Command [ streamlit run streamlitRFC.ipynb ]

SS of the final prediction page