Volume 21 No 2 (2023)
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Identifying the Best ML Algorithm to Predict Real-Time Data Classification Problems:A Non-ML to ML Algorithm Transition
Dr. RohitaYamaganti, Dr.P.N.SivaJyothi , NelliSreevidya
When it comes to artificial intelligence and massive data analysis, machine learning is the foundation. It offers strong algorithms that can identify patterns, classify data, and essentially learn on their own how to carry out a certain activity. Even though this field has become immensely popular recently, but, an ambiguity exists in the researcher's mind regarding which Machine Learning Algorithm is appropriate for the specific case or prediction model. As a result, the goal of this research paper is to solve a real-world data classification problem using non-ML algorithms and various ML algorithms, such as K-Nearest Neighbours and Neural Networks. Finally, this research determined the best ML Approach to solve the problem and made additional recommendations.
ML Algorithms, Priors, K-Nearest Neighbours, and Neural Networks.
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