A Framework for Implementing Machine Learning algorithms using Data sets
J. Vijaya Chandra1, G. Ranjith2, Arroju Shanthisri3, R. Rakshitha4, K. Mahesh5

1J. Vijaya Chandra, Head of the Department & Assistant Professor, Department of Computer Science and Engineering, Warangal Institute of Technology and Science, Warangal, India.
2G. Ranjith, Vice Principal and Associate Professor, Department of Computer Science and Engineering, Warangal Institute of Technology and Science, Warangal, India.
3Arroju Shanthisri, M.Tech Scholar, Department of Computer Science at Warangal Institute of Technology and Science, Warangal, Telangana, India
4R.Rakshitha, M. Tech scholar, Department of Computer science, at Warangal Institute of Technology and Science, Warangal, Telangana, India
5K.Mahesh, M. Tech scholar, Department of Computer science, at Warangal Institute of Technology and Science, Warangal, Telangana, India
Manuscript received on 04 September 2019. | Revised Manuscript received on 12 September 2019. | Manuscript published on 30 September 2019. | PP: 155-160 | Volume-8 Issue-11, September 2019. | Retrieval Number: K12630981119/2019©BEIESP | DOI: 10.35940/ijitee.K1263.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The rapid development of cloud computing, big data, machine learning and datamining made information technology and human society to enter new era of technology. Statistical and mathematical analysis on data given a new way of research on prediction and estimation using samples and data sets. Data mining is a mechanism that explores and analyzes many dis-organized or dis-ordered data to obtain potentially useful information and model it based on different algorithms. Machine learning is an iterative process rather than a linear process that requires each step to be revisited as more is learned about the problem. We discussed different machine learning algorithms that can manipulate data and analyses datasets based on best cases for accurate results. Design and Implementation of a framework that is associated with different machine learning algorithms. This paper expounds the definition, model, development stage, classification and commercial application of machine learning, and emphasizes the role of machine learning in data mining by deploying the framework. Therefore, this paper summarizes and analyzes machine learning technology, and discusses the use of machine learning algorithms in data mining. Finally, the mathematical analysis along with results and graphical analysis is given.
Keywords: Machine learning, Data mining, algorithms, datasets and cloud computing.
Scope of the Article: