References
Annina Simon, Mahima Singh Deo, S.Venkatesan and D.R. Ramesh Babu (2015). An Overview of Machine Learning and its Applications. International Journal of Electrical Sciences & Engineering. Volume 1, Issue 1.
Jiung Schelldorfer (2019). Principles and Best Practices for Applied Machine learning Models. Insurance Data Science Conference. ETH Zurich.
Madhur Aggarwal and Anuj Bhatia (2015). A comparative study on Machine Learning for Computational Learning Theory. International Journal of Scientific Research Engineering and technology. Volume 4, Issue 9.
Martin Emmus and Saturnino Luz (2007). Machine Learning for
Natural Language Processing.
Muhammad Badruddin Khan, Mohssen Mohammed and Eihab Bashier
Mohammed Bashier (2017). Machine Learning Algorithms and Applications. CRC
Press.
Ulrike von Luxburg and Bernhard Scholkopf (2008). Statistical
Learning Theory: Models, Concepts and Results. Luxburg publications.
https://www.tiobe.com/tiobe-index/ [Accessed on : December 5, 2019]
https://www.kaggle.com/jcblaise/imdb-sentiments [Accessed on: November 3, 2019]
https://www.tutorialspoint.com/natural_language_processing/index.htm [Accessed on: November 10, 2019]
Edurekahttps://www.youtube.com/watch?v=GwIo3gDZCVQ&list=PL9ooVrP1hQOHUfd-g8GUpKI3hHOwM_9Dn [Accessed on: November 20, 2019]
https://www.tiobe.com/tiobe-index/ [Accessed on : December 5, 2019]
https://www.kaggle.com/jcblaise/imdb-sentiments [Accessed on: November 3, 2019]
https://www.tutorialspoint.com/natural_language_processing/index.htm [Accessed on: November 10, 2019]
Edurekahttps://www.youtube.com/watch?v=GwIo3gDZCVQ&list=PL9ooVrP1hQOHUfd-g8GUpKI3hHOwM_9Dn [Accessed on: November 20, 2019]