Material Type Prediction Using Machine Learning Techniques
Abstract: In materials science, traditional experimental and computational approaches require the investment of enormous amounts of time and resources, and the experimental conditions limit the use of these methods. Sometimes, traditional approaches may not yield satisfactory results for the desired purpose. Therefore, it is essential to develop a new approach to accelerate experimental progress and avoid unnecessary waste of time and resources.
Keywords: Supervised Learning, Classification Problems, Feature Engineering, Scaling, Python, Material Type
How to Cite?: Debmalya Ray, "Material Type Prediction Using Machine Learning Techniques", Volume 13 Issue 2, February 2024, International Journal of Science and Research (IJSR), Pages: 1031-1036, https://www.ijsr.net/getabstract.php?paperid=SR24212155231, DOI: https://dx.doi.org/10.21275/SR24212155231