MACHINE LEARNING USING GOOGLE COLAB  (English, Paperback, Prof. P. Subashini)

The core idea of this book entitled “Machine Learning using Google Colab - for Chemistry & Biochemistry Applications” is to lay a foundation or stepping stone to explain the algorithmic approach for solving chemistry & bio-chemistry oriented research problems at the practical level. It explains various kinds of concepts, such as, classification, pre-processing techniques, datasets, packages, library files, data repository, clustering, prediction, coding, data visualization, analysis, forms, commands and case studies. The scope of this book covers a broad spectrum of people including faculty members, researchers, research scholars, students, and programmers to gain knowledge about how machine learning codes are written to construct a model for solving real-time complex problems. The entire source codes utilized in this book are available on GitHub and URL links to access those codes are given at the end of respective chapters.