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Optimization of Diabetes Training DATA using Machine Learning Algorithms

M. Samba Siva Rao1 , M.Yaswanth 2 , K. Raghavendra Swamy3

  1. Dept. Of CSE, Usha Rama college of engineering and Technology, Tealaprolu,JNTUK,,INDIA.
  2. Dept. of CSE, PVP Siddhartha college of engineering, ,Vijayawada,JNTUK,INDIA.
  3. Dept. Of IT, BDPS IT Training and Data Processing Solutions, Vijayawada, INDIA.

Correspondence should be addressed to: csehod@usharama.in.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-2 , Page no. 283-286, Feb-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i2.283286

Online published on Feb 28, 2018

Copyright © M. Samba Siva Rao, M.Yaswanth, K. Raghavendra Swamy . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. Samba Siva Rao, M.Yaswanth, K. Raghavendra Swamy, “Optimization of Diabetes Training DATA using Machine Learning Algorithms,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.2, pp.283-286, 2018.

MLA Style Citation: M. Samba Siva Rao, M.Yaswanth, K. Raghavendra Swamy "Optimization of Diabetes Training DATA using Machine Learning Algorithms." International Journal of Computer Sciences and Engineering 6.2 (2018): 283-286.

APA Style Citation: M. Samba Siva Rao, M.Yaswanth, K. Raghavendra Swamy, (2018). Optimization of Diabetes Training DATA using Machine Learning Algorithms. International Journal of Computer Sciences and Engineering, 6(2), 283-286.

BibTex Style Citation:
@article{Rao_2018,
author = {M. Samba Siva Rao, M.Yaswanth, K. Raghavendra Swamy},
title = {Optimization of Diabetes Training DATA using Machine Learning Algorithms},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2018},
volume = {6},
Issue = {2},
month = {2},
year = {2018},
issn = {2347-2693},
pages = {283-286},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1740},
doi = {https://doi.org/10.26438/ijcse/v6i2.283286}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i2.283286}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1740
TI - Optimization of Diabetes Training DATA using Machine Learning Algorithms
T2 - International Journal of Computer Sciences and Engineering
AU - M. Samba Siva Rao, M.Yaswanth, K. Raghavendra Swamy
PY - 2018
DA - 2018/02/28
PB - IJCSE, Indore, INDIA
SP - 283-286
IS - 2
VL - 6
SN - 2347-2693
ER -

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Abstract

Diabetes Disease is one of most common disease in our modern life, and in this paper we are using different Super vised and un Super vised Machine learning Algorithms to Analyze and optimize accuracy of Training Data and classify , diagnosis , accuracy of Algorithms with python Machine learning modules like pandas, sklearn, Seaborn.

Key-Words / Index Term

python, Machine Learning, Pandas, Seaborn, Sklearn, Diabetes

References

[1]. Sikit learn cook Book
[2]. https://www.kdnuggets.com/2015/11/seven-steps-machine-learning- python.html
[3]. Understanding Machine Learning: From Theory to Algorithms By Shai Shalev-Shwartz and Shai Ben-David
[4]. Machine Learning Yearning By Andrew Ng
[5]. Introduction to Machine Learning with Python: A Guide for Data Scientists Book by Andrea C. Müller
[6]. Machine Learning in Python: Essential Techniques for Predictive Analysis
[7]. https://towardsdatascience.com/machine-learning-for-diabets