Introduction to Machine Learning and Its Basic Application in Python
22 Pages Posted: 31 Jan 2019 Last revised: 25 Apr 2019
Date Written: January 6, 2019
Artificial Intelligence, Machine Learning and Deep Learning are the buzzwords that have been able to grasp the interest of many researchers since various numbers of years. Enabling computers to think, decide and act like humans has been one of the most significant and noteworthy developments in the field of computer science. Various algorithms have been designed over time to make machines impersonate the human brain and many programming languages have been used to implement those algorithms. Python is one such programming language that provides a rich library of modules and packages for use in scientific computing and machine learning. This paper aims at exploring the basic concepts related to machine learning and attempts to implement a few of its applications using python. This paper majorly used Scikit-Learn library of Python for implementing the applications developed for the purpose of research.
Keywords: Machine Learning, Python, Scikit-Learn, AI, ML, Deep Learning, NumPy, Matplotlib, Workflow of machine learning, NLTK
Suggested Citation: Suggested Citation