Welcome to 🎄Random Forest Explorer🎄.

This is an interactive dashboard to stimulate a random forest model on your data for those who want to run a quick model or someone without programming knowledge.

Heroku App Link

Noteable Features:

• Statistics of the data
• Feature correlation Heat Map
• Can be used for both Regression and Classification data.
• Includes Shuffle, Stratify, test_split of data
• Metrics: Accuracy, R2, Confusion_matrix, F1 Score, Log Loss, Recall, Presicion Etc..
• Easy way to understand Random Forest.

Hope you enjoy it.!

Limitations:

• File size should be less than 200MB.
• Feature Engineering is limited

How to use this:

pip install --upgrade streamlit
streamlit run https://raw.githubusercontent.com/PrudhviVajja/RandomForestDashboard/master/app.py