Journal of Applied Science and Education (JASE)

Diabetes Prediction using Machine Learning

2022-12-13T10:30:02+00:00

Machine Learning is a type of AI (also known as Artificial Intelligence) that makes the pc or computer act like individuals and learn more as they experience additional information from their client or user. So here in this report we got basic introduction about machine learning like actually what is it, what is its use, how it works and many more things. Thereafter, we discussed about the python the language, which is used for making pro-ject, important libraries such as pandas and numPy which is being is used for this partic-ular project and we have also discussed about Support Vector machine which has been used as classifier. We have also talked about the linear and non-linear svm that is used to check the accuracy of the predictive system. For the implementation we have started with importing the dependencies numpy smp and pandas pd and for the analysis we have taken a csv Pima Indian diabetes dataset after that we have trained the model with the help of support vector classifier. For the model evaluation we have checked the accuracy of the training data and test data. Numerous people suffer from diabetes mellitus, one of the most serious diseases. Age, obesity, inactivity, genetic diabetes, a poor diet, high blood pressure, and other factors can all contribute to diabetes mellitus. Diabetes in-creases a person's risk of developing various illnesses, including heart disease, renal dis-ease, stroke, vision problems, nerve damage, etc. So, here we will be building a system that can predict whether a person has diabetes or not with the help of Machine Learning.

Statistical Analysis of Groundwater sample of Sirohi village of Neemkathana block of Sikar (Rajasthan) India

2022-12-29T07:23:11+00:00

In this study, the statistical analysis of groundwater of Sirohi village of Neemkathana block, Sikar (India) has been presented. Groundwater samples were taken from the se-lected sites strictly as per BIS norms. The TDS level of Sirohi village was found to be more than the acceptable limit of 500 mg/L. The higher TDS will affect human health. Neemkathana block in Rajasthan is a semi-arid zone, due to a continuous decrease in the value of rainfall, the rate of recharge of the water aquifer is imbalanced by yield. The average discharge from wells in alluvium ranges from 40m3/day to 90m3/day. Such kind of situation makes contamination to be at the extreme.

Alkaline Water and Human Health: Significant Hypothesize

2022-12-06T06:24:02+00:00

The ionized water is better than the raw water for drinking purpose. The acidic and alkaline water can be produced by the water ionization process. The major reason of the disease in human body is acidity and which can be neutralising by the alkaline water. So many benefits of alkaline water for drinking are shown in this communication. The alkaline water or acidic water both are not good for health in longer duration so alkaline water can be use for drinking purpose for medical reasons and it is beneficial of reducing causes of ulcer, cancer etc.

Study of Application of De-Morgan’s law in Modern Fields

2022-12-12T07:04:40+00:00

This paper discusses about the De-Morgan's Law, with both the conditions, the law re-lates the intersection and union of sets through complements. In propositional logic De-Morgan’s Laws relate conjunctions and disjunctions of propositions through nega-tion. Use of the law in Boolean algebra has been demonstrated through logic diagram and application of the law in other fields have been described, the paper also discusses about the law along with some examples to prove the law.