Machine Learning Trial Room

An application to try different machine learning models on preprocessed data directly from the browser.

Demo

Trial.Room.App.Dashboard.mp4

📱 ML Trial Room 📉

Introduction

ML Trial Room is a streamlit application that allows you to play with machine learning models from your browser.

So if you're a data science practitioner you should definitely try it out 😉

How does it work ?

1. 🗂️ You upload the preprocessed dataset, means dataset must be numerical and does not have NULL values.
2. 📊 Basic Data analysis or Data Exploration.
3. ⚙️ You select X features and Y target label for either Regression Models or Classification Models.
4. 🤖 You select a model set its hyper-parameters. You can pick a model from many different models.
5. 📉 The app automatically displays the following results:
   • For Classification Part
     • Train Accuracy
     • Test Accuracy
     • Confusion Matrix
     • Classification Report
     • Model Accuracy
     • Graph of Accuracy of each model Combined
   • For Regression Part
     • R2 Score
     • Mean Squared Error
     • Figure Matching the actual and predicted values
     • Graph of MSE of each model Combined

Technology Stack

1. Python
2. Streamlit
3. Pandas
4. Scikit-Learn
5. Seaborn

How to Run

• Clone the repository
• Setup Virtual environment

$ python3 -m venv env

• Activate the virtual environment

$ source env/Source/activate

• Install dependencies using

$ pip install -r requirements.txt

• Run Streamlit

$ streamlit run app.py

Contributions are welcome!

Feel free to open a pull request or an issue if you're thinking of a feature you'd like to see in the app.

Off the top of my head, I can think of:

• Adding Preprocessing Part in the app, so we do not have to preprocess our dataset outside the app.
• Adding feature engineering part

But if you've got other ideas, I will be happy to discuss them with you.

Contact

For any feedback or queries, please reach out to me at [email protected].