Join us for a hands-on session where we’ll build an end-to-end sentiment classification pipeline using the Goodreads Reviews dataset. We'll use DistilBERT for training high-performance models, and orchestrate the workflow seamlessly with Apache Airflow. To make the predictions accessible, we’ll create an intuitive interface using Streamlit. Best of all, the entire setup will be run locally, simplifying the process and eliminating cloud complexities. This session offers a practical, approachable way to implement sentiment analysis for both beginners and experienced data practitioners.

Key Takeaways:

• Build a complete sentiment classification pipeline using Goodreads Reviews, from data cleaning to predictions.
• Leverage DistilBERT for efficient, high-performance sentiment analysis training.
• Seamlessly manage complex workflows using Apache Airflow to orchestrate the entire process.
• Create an intuitive interface with Streamlit to display sentiment predictions, all running locally for simplicity.