Analyzing Acoustic Signals to Predict the Next Simulated Earthquake
In the previous chapters, we explored basic table-formatted data, covering categories like categorical, ordinal, and numerical data, as well as text, geographical coordinates, and imagery. The current chapter shifts our focus to a different data category, specifically, simulated or experimental signal data. This data type often appears in a range of formats beyond the standard CSV file format.
Our primary case study will be data from the LANL Earthquake Prediction Kaggle competition (see Reference 1). I contributed to this competition with a widely recognized and frequently forked notebook titled LANL Earthquake EDA and Prediction (see Reference 2), which will serve as the foundational resource for this chapter’s principal notebook. We’ll then delve into feature engineering, employing a variety of signal analysis techniques vital for developing a predictive model for the competition. Our goal will...
