A flexible, interactive web application built with Streamlit that allows users to upload their own datasets and instantly explore, analyze, and visualize the data. The tool also includes options to train and test simple machine learning models — all within the browser.
🚀 Key Highlights:
- Upload your own dataset for real-time analysis
- Perform automated data cleaning, exploratory data analysis, and visualization
- Train regression or classification models directly in the app
- Built with Streamlit, Pandas, Seaborn, and Scikit-learn
- No coding required — just upload and explore
- Ideal for students, analysts, and beginners experimenting with data
Run: streamlit run main_app.py