This video explains the Ada Boost machine learning algorithm. I took one simple dataset and showed all the calculations step by step very clearly.
The prerequisite to understand this algorithm is to understand decision tree algorithm.
Hopefully, after watching this video you will be able to visualize what goes on behind the scene of this machine learning algorithm even if you use a library or package. I am not showing the working process with Python on this one because I have worked on several machine learning using the scikit-learn library before. The process of working with the scikit-learn library is the same in all the machine learning models.
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