AutoML Streamlit

An automated machine learning (AutoML) pipeline built with Streamlit, ydata_profiling, and PyCaret.

Overview

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.

Features

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

Installation

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

pip install -r requirements.txt

Usage

Clone the repository:

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

Install Requirements:

pip install -r requirements.txt

Run the application:

streamlit run app.py