Editorial course preview
What the public course preview actually shows
These 3 complementary views highlight concrete, legible examples from the course presentation.
This image displays a Jupyter Notebook environment where Python code is used to load a dataset from a CSV file, set the date as the index, and prepare the data for time series analysis.
The notebook interface shows the implementation of an LSTM model using a custom RNN module, highlighting hyperparameters such as hidden dimensions and dropout rates.
The notebook shows Python code using pandas resample methods to plot quarterly seasonality and applying seasonal_decompose to analyze Bitcoin demand patterns.
