AutoML Web App
Project Overview:
I developed an AutoML Web Application that empowers users to quickly train, compare, and select machine learning models without needing any coding skills. Users can upload datasets, automatically generate EDA reports, and download the best-performing model. This project makes machine learning accessible to non-technical users.
Technologies Used:
- Python
- Streamlit (Web App Framework)
- PyCaret (AutoML Library)
- Pandas Profiling (Automatic EDA)
Key Features:
- Upload any structured CSV dataset
- Generate automatic EDA reports with key insights
- Train and compare multiple machine learning models automatically
- Choose and download the best model for later use
- Simple, user-friendly web interface built with Streamlit