## Finding the Mode of an Empirical Continuous Distribution

You can find the mode of an empirical continuous distribution by plotting the histogram and looking for the maximum bin.

A simple NumPy implementation of the binary cross entropy loss function and some intuition about why it works.

The histplot() function in Seaborn is a great API for plotting histograms to visualize the distribution of your Pandas columns.

If you have a random sample drawn from a continuous uniform(a, b) distribution stored in an array x, the maximum likelihood estimate (MLE) of a is…

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