In this Machine Learning from Scratch Tutorial, we are going to implement the AdaBoost algorithm using only built-in Python modules and numpy. AdaBoost is an ensemble technique that attempts to create a strong classifier from a number of weak classifiers. We will first learn about the concept and the math behind this popular ML algorithm, and then we jump to the code.

Get access to the ML notebooks:

The code can be found here:

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Machine Learning From Scratch  - AdaBoost in Python
16.65 GEEK