This project was created during an interactive AI/ML Workshop session where we explored the basics of Artificial Intelligence and Machine Learning as a career path.
The workshop introduced us to Python as a powerful and beginner-friendly programming language widely used in AI/ML because of its vast ecosystem of libraries.
During the session, we gained exposure to key Python libraries used in data science, such as:
- NumPy – for numerical computing
- Pandas – for data handling and analysis
- Matplotlib – for data visualization
- Seaborn – for advanced plotting and graphs
As a hands-on activity, we were given a dataset (database-style data) and were required to:
- Perform queries and data filtering
- Analyze the dataset using Python
- Visualize results by plotting graphs in Jupyter Notebook
The goal was to understand how data can be transformed into meaningful insights through visualization.
- Python 🐍
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib
- Seaborn
The project generates graphical insights from the dataset using Python queries and plotting libraries.
This workshop project was a starting point, and in the future it can be extended into:
- Full exploratory data analysis (EDA)
- Machine learning model training
- Real-world dataset integration