Comparative Study of Machine Learning Algorithms

In the field of machine learning, a challenge arises due to the abundance of algorithms that can be employed to solve a specific problem. Given the diverse range of machine learning algorithms available, it is crucial to comprehend their individual strengths, weaknesses, and performance characteristics to select the most suitable algorithm for a given task. To address this concern, this paper conducts a comparative study of machine learning algorithms. Conducting such a study, researchers can gain insights into the strengths and weaknesses of different algorithms, helping them make informed decisions when choosing the most appropriate algorithm for a given problem.