This web app is a No-Code tool for Exploratory Data Analysis and building Machine Learning model for Regression and Classification tasks.

I used PyCaret and Streamlit.

1. Load your dataset file (CSV file);

2. Click on Profile Dataset button in order to generate the pandas profiling of the dataset;

3. Choose your target column;

4. Choose the machine learning task (Regression or Classification);

5. Click on Run Modelling in order to start the training process.

When the model is built, you can view the results like the pipeline model, Residuals plot, ROC Curve, Confusion Matrix, Feature importance, etc.

6. Download the Pipeline model in your local computer.

Do you want to learn Data Apps Development with Streamlit ? You can check my streamlit training videos on my YouTube channel : My playlist Streamlit Python

4 videos that can help you get started with PyCaret : My playlist PyCaret

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