• Shashank Girepunje
• Awantika Singh

There are a few ML techniques that are utilized to perform data analysis over different areas. Data investigation in medical services is a difficult undertaking in any case can assist experts with settling on huge information informed opportune choices about persistent wellbeing and therapy method. This paper talks about the data investigation in diabetes; three distinctive AI calculations are utilized in this examination work. For try reason, a dataset of patient's clinical record is acquired and three diverse Machine Learning calculations are applied on the dataset. Execution and precision of the applied calculations is examined and thought about. Correlation of the diverse AI procedures utilized in this review uncovers which calculation is the most appropriate for expectation of diabetes. This paper intends to help specialists and experts in early forecast of diabetes utilizing Machine learning procedures.

Diabetes prediction

"Diabetes Prediction using SVM, Decision tree and Random Forest Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.a606-a610, February-2022, Available :http://www.jetir.org/papers/JETIR2202073.pdf

"Diabetes Prediction using SVM, Decision tree and Random Forest Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppa606-a610, February-2022, Available at : http://www.jetir.org/papers/JETIR2202073.pdf