Author : R Akshara 1
Date of Publication :14th February 2018
Abstract: From last two decades onwards Machine Learning algorithms are used in many areas like Banking sector, online sites, social network sites, Health sector etc. By applying Machine learning algorithms on past data of organization, one can take certain decision for the benefits of organization. This paper mainly focuses on explaining the concept and applying different Machine Learning algorithms in R programming over different datasets.
Reference :
-
- Seema Sharma, Jitendra Agrawal, Shikha Agarwal, Sanjeev Sharma “Machine Learning Techniques for Data Mining: A Survey” 2013 IEEE International Conference on Computational Intelligence and Computing Research.
- Kajaree Das1, Rabi Narayan Behera “A survey on machine learning : concept, Algorithms and Applications” international journal of innovative research in computer and communication engineering, Vol. 5, Issue 2, February 2017.
- Balagatabi, Z. N., & Balagatabi, H. N. (2013). Comparison of Decision Tree and SVM Methods in Classification of Researcher's Cognitive St.
- Han, J., Kamber, M., & Pei, J. (2006). Data mining: concepts and techniques. Morgan kaufmann.
- Jason Bell, Wiley Machine Learning for Big Data.
- Mathur, N., Kumar, S., Kumar, S., & Jindal, R. The Base Strategy for ID3 Algorithm of Data Mining Using Havrda and Charvat Entropy Based on Decision Tree
- Referredwebsites: https://www. analyticsvidhya. Com /blog /2015 / https:// www.udemy. Com /machinelearning- in- r