Combine your machine learning models for better out-of-sample accuracy

Source: https://aperiodical.com/tag/statistics/

Bootstrapping

And how is this going to be useful for me?

Simulation of the population of treatment and control group, then sample from it.
Calculating theoretical population and empirical sample means.
Perform bootstrapping and estimate mean from the empirical sample mean distribution.
Sample means for treatment and control group with 99% confidence intervals.
Perform t-test for equality of means using scipy.

Takeaways

ML&NLP Engineer @ Bold360AI. Text mining and predictive statistics enthusiast.

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