Programming for Data Analysis Project Presentation- Pres1

Here I have shown what work I have done in my project which was about Programming for Data Analysis Course. # Beijing Air Pollution Analysis and PM2.5 Prediction Project This notebook presents the full workflow of the Programming for Data Analysis project. The aim of this project is to analyse Beijing air pollution data, compare selected urban and suburban stations, discover meaningful pollution patterns, build a PM2.5 prediction model, and prepare the final Streamlit dashboard application. The project follows a complete data science process: 1. Importing libraries and connecting GitHub 2. Loading and combining multiple CSV files 3. Selecting urban and suburban monitoring stations 4. Understanding and cleaning the dataset 5. Feature engineering 6. Exploratory Data Analysis with storytelling insights 7. Advanced pollution analysis 8. Machine learning model building and evaluation 9. Saving files for the Streamlit app 10. Running the Streamlit dashboard