The Challenge
The goal of this project is to determine if a pair of questions on Quora are duplicates. This is a classic binary classification problem in Natural Language Processing. The following dashboard visualizes an iterative approach, starting with a simple baseline and progressively adding more complex features to enhance model accuracy. Explore the different stages to see how feature engineering impacts performance.
Model Progression Journey
This section details the project's iterative methodology. Each step introduces more sophisticated features, building upon the previous one. Click on each stage to update the chart and see the corresponding findings and techniques used.
Overall Conclusion
The project clearly demonstrates the immense value of feature engineering in this NLP task. While a simple Bag of Words model provides a reasonable starting point, it's the addition of manually crafted, domain-specific features that yields the most significant improvements in performance. The final model, which combines text preprocessing with a rich set of basic and advanced features, stands out as the most effective approach. This underscores the principle that for many machine learning problems, thoughtfully engineered features are often more critical than the choice of algorithm alone.