What is your favourite algorithm and how have you implemented it?

Question

Accepted Answer

My favorite algorithm is Random Forest, which I have implemented for predicting customer churn in a telecom company.

Random Forest is an ensemble learning method that builds multiple decision trees and merges them together to get a more accurate and stable prediction.
I have implemented Random Forest in Python using scikit-learn library for a telecom company to predict customer churn based on various features like call duration, data usage, and customer demographics.
The algorithm performed well in terms of accuracy and helped the company identify customers at risk of churning, allowing them to take proactive measures to retain those customers.

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