An automated machine learning (AutoML) pipeline built with Streamlit, Pandas Profiling, and PyCaret. This repository demonstrates streamlined data analysis, model building, and deployment using popular Python libraries.

AutoML Streamlit simplifies the process of developing machine learning models by offering an interactive interface for data exploration, automated exploratory data analysis (EDA), model building, and evaluation.

• Data Upload: Easily upload datasets for analysis and model training.
• Pandas Profiling: Perform automated exploratory data analysis.
• PyCaret Integration: Utilize PyCaret for building and comparing machine learning models.
• Streamlit Interface: Intuitive UI for seamless interaction.

To run this application, ensure you have the required libraries installed.

pip install pandas streamlit pandas-profiling pycaret streamlit-pandas-profiling

Clone the repository:

git clone https://github.com/Hassn11q/auto-ml-streamlit.git

Run the application:

streamlit run app.py