AUTO ML using Streamlit This project is an AUTO ML application built using Streamlit, a Python library for creating web apps. It provides functionalities for Exploratory Data Analysis (EDA), data visualization, model building, and predictions.

Prerequisites Python 3.6 or higher Streamlit library Pandas NumPy Matplotlib Seaborn Scikit-learn

EDA: Perform Exploratory Data Analysis Plot: Visualize data using various plots (e.g., correlation heatmap, pie chart, area plot) Model Building: Train machine learning models and evaluate their performance About: Information about the project Follow the on-screen instructions to interact with the application and explore your data.

Features Upload CSV or text files for data analysis Perform EDA to understand dataset characteristics Visualize data using different plots (correlation heatmap, pie chart, area plot, etc.) Train and evaluate machine learning models for classification tasks Download model results as CSV for further analysis Contributing Contributions are welcome! If you have any suggestions, bug fixes, or improvements, please fork the repository and create a pull request.