Updated materials from the Spring, 2023 offering of this course! Key changes:
- various edits/fixes/clarifications of existing materials
- new (or substantially updated/overhauled) lectures, tutorial notebooks, and demos:
- data visualization, plotting (with matplotlib, seaborn, and plotly)
- pandas and scikit-learn
- model design + model building
- natural language processing
- time-frequency analysis (FFT, wavelets, Hilbert transform)
- timeseries prediction/forecasting models