Author Archive

Handling Class Imbalance – An Ensemble – Majority Voting on Minority Samples

Class Imbalance is a major problem in machine learning models where the total number of one class data is far less than the total number of another class. This problem is extremely common in practice and can

Reinforcement Learning: Understand with a Simple Game

Reinforcement learning is an important type of Machine Learning where an agent learns how to behave in an environment by performing actions and seeing the results. It seeks to create intelligent agents that adapt to the environment