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Machine Learning with Python

A hands-on learning journey through Machine Learning and Python-based data tools.

Repository Structure

Machine-Learning-with-Python/
│
└── StreamLit/
    ├── Tutorials.py       # Streamlit UI components & layout tutorial
    ├── File_upload.py     # CSV file uploader with summary stats
    ├── login.py           # Simple login form demo
    └── image.png          # Sample image used in tutorials

Projects

StreamLit

Hands-on demos exploring the Streamlit library for building interactive web apps with Python.

File Description
Tutorials.py Covers Streamlit essentials: text elements, dataframes, media, layouts, status messages, a progress bar, and user input widgets
File_upload.py Lets users upload a CSV file and instantly view summary statistics via df.describe()
login.py A basic login form with email/password validation and gender selection

Setup & Running

  1. Clone the repository

    git clone https://github.com/aayushmanz/Machine-Learning-with-Python.git
cd Machine-Learning-with-Python

  2. Install dependencies

    pip install streamlit pandas

  3. Run a Streamlit app

    streamlit run StreamLit/Tutorials.py

Technologies Used

  • Python 3
  • Streamlit – interactive web apps
  • Pandas – data manipulation & analysis

License

This project is licensed under the terms of the LICENSE file.