[DOC] TSC notebook

[TonyBagnall]

a few minor corrections

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[baraline]

The phrasing is a bit weird here and got me confused : We use 3D numpy even if the data is univariate: all classifiers work with shape (n_cases, n_timepoints), this can get confused with single multivariate time series, which are of shape (n_channels, n_timepoints). Did you mean something like this? We use 3D numpy even if the data is univariate: even though a univariate classifier could work using a 2D array of shape (n_cases, n_timepoints), this 2D shape can get confused with single multivariate time series, which are of shape (n_channels, n_timepoints). Hence, to differentiate both cases, we enforce the 3D format (n_cases, n_channels, n_timepoints) to avoid any confusion.