Umesh Singh - Academia.edu (original) (raw)

Papers by Umesh Singh

IJSRD - International Journal for Scientific Research & Development, 2020

This paper is written about the human educational knowledge and experience of their job. What doe... more This paper is written about the human educational knowledge and experience of their job. What does he gain/achieve after spending lots of time in both? What he learns and did in the duration of both systems? It doesn't matter which type of education he got and which type of job experience he got. Both of them part with life and two aspects of the same coin. We can say that, education is the step of gaining knowledge and experience is the step of execution of obtained knowledge. This paper is described all about education and experience so it is entitled by name of Education versus Experience.

International Journal of Computer Sciences and Engineering, 2019

This thesis is described about VR and functions. virtual reality (VR) is a amazing and interestin... more This thesis is described about VR and functions. virtual reality (VR) is a amazing and interesting topic at the current time. This is not really new. It defines the advantage and disadvantage of VR and uses of VR in various field. Virtual Reality (VR) literally makes it possible to experience anything, anywhere, anytime. It is the immersive type of reality technology and can convince the human brain that it is somewhere it is really not. We discuss here about VR, uses, history, application, advantage , disadvantage of VR

Mukt Shabd Journal, 2023

After the brain, the heart is regarded as the second-most significant organ. Any heart disruption... more After the brain, the heart is regarded as the second-most significant organ. Any heart disruption causes
the entire body to become upset. Heart disease is one of the top five killer diseases in the world.
Diseases, including heart disease, are a result of the changes that occur to us on a daily basis.
Therefore, it is crucial to predict a sickness at the appropriate time. Data mining is a fundamental and
fundamental process for defining and discovering relevant data and uncovering hidden patterns in
massive databases. By predicting and diagnosing various diseases, data mining and machine learning
techniques are used in the medical sciences to address genuine health-related challenges. This study
compares and contrasts Support Vector Machine, Decision Tree, and Random Forest as three machine
learning algorithms for the prediction of heart disease.

Engineering Universe for scientific Research and management, 2023

For doctors or other practitioners, the ability to predict heart illness is crucial because it en... more For doctors or other practitioners, the ability to predict
heart illness is crucial because it enables them to make
informed decisions about the course of treatment for heart
patients. One of the most important organs in the body is
the heart. Blood is cleaned and circulated to various bodily
parts as a result. For understanding cardiac patient
symptoms, machine learning techniques are frequently
applied. When a task is complex and challenging to
programme, such as analysing genomic data or turning
medical records into information, machine learning is
utilised as an analytical tool. In this article, we examine
the research on heart disease prediction done in the
literature and explain different machine learning methods
for heart prediction such as decision tree, naïve bayes
algorithm, logistic regression, random forest etc.

IJSRD - International Journal for Scientific Research & Development, 2020

This paper is written about the human educational knowledge and experience of their job. What doe... more This paper is written about the human educational knowledge and experience of their job. What does he gain/achieve after spending lots of time in both? What he learns and did in the duration of both systems? It doesn't matter which type of education he got and which type of job experience he got. Both of them part with life and two aspects of the same coin. We can say that, education is the step of gaining knowledge and experience is the step of execution of obtained knowledge. This paper is described all about education and experience so it is entitled by name of Education versus Experience.

International Journal of Computer Sciences and Engineering, 2019

This thesis is described about VR and functions. virtual reality (VR) is a amazing and interestin... more This thesis is described about VR and functions. virtual reality (VR) is a amazing and interesting topic at the current time. This is not really new. It defines the advantage and disadvantage of VR and uses of VR in various field. Virtual Reality (VR) literally makes it possible to experience anything, anywhere, anytime. It is the immersive type of reality technology and can convince the human brain that it is somewhere it is really not. We discuss here about VR, uses, history, application, advantage , disadvantage of VR

Mukt Shabd Journal, 2023

After the brain, the heart is regarded as the second-most significant organ. Any heart disruption... more After the brain, the heart is regarded as the second-most significant organ. Any heart disruption causes
the entire body to become upset. Heart disease is one of the top five killer diseases in the world.
Diseases, including heart disease, are a result of the changes that occur to us on a daily basis.
Therefore, it is crucial to predict a sickness at the appropriate time. Data mining is a fundamental and
fundamental process for defining and discovering relevant data and uncovering hidden patterns in
massive databases. By predicting and diagnosing various diseases, data mining and machine learning
techniques are used in the medical sciences to address genuine health-related challenges. This study
compares and contrasts Support Vector Machine, Decision Tree, and Random Forest as three machine
learning algorithms for the prediction of heart disease.

Engineering Universe for scientific Research and management, 2023

For doctors or other practitioners, the ability to predict heart illness is crucial because it en... more For doctors or other practitioners, the ability to predict
heart illness is crucial because it enables them to make
informed decisions about the course of treatment for heart
patients. One of the most important organs in the body is
the heart. Blood is cleaned and circulated to various bodily
parts as a result. For understanding cardiac patient
symptoms, machine learning techniques are frequently
applied. When a task is complex and challenging to
programme, such as analysing genomic data or turning
medical records into information, machine learning is
utilised as an analytical tool. In this article, we examine
the research on heart disease prediction done in the
literature and explain different machine learning methods
for heart prediction such as decision tree, naïve bayes
algorithm, logistic regression, random forest etc.