Using Machine Learning
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DIABETES PREDICTION USING MACHINE LEARNING
www.ijser.orgdiabetes using machine learning techniques. With rapid development of machine learning, machine learning has been applied in many aspects of medical health. In this study, we are using some popular machine learning algorithms namely, Random Forest, K-Nearest Neighbor (KNN), Decision Tree (DT) and Logistic Regression to predict diabetes mellitus.
Disease Prediction Using Machine Learning
www.irjet.netmedical care. Hence machine learning when implemented in healthcare can leads to increased patient satisfaction. The k-mean algorithm is used to predict diseases using patient treatment history and health data. 2. EXISTING SYSTEM Prediction using traditional disease risk model usually involves a machine learning and supervised learning
Crime Prediction and Analysis Using Machine Learning
www.irjet.net1.3 The aim of this project is to make crime prediction using the features present in the dataset. The dataset is extracted from the official sites. With the help of machine learning algorithm, using python as core we can predict the type of crime which will occur in a particular area. 1.4 The objective would be to train a model for prediction.
Prediction of Heart Disease Using Machine Learning …
ijirt.orgcondition using UCI machine learning repository dataset. The result of this study indicates that the Random Forest algorithm is the most efficient algorithm with accuracy score of 90.16% for prediction of heart disease. In future the work are often …
Predicting Diabetes in Medical Datasets Using Machine ...
www.ijser.orgUsing Machine Learning Techniques Uswa Ali Zia, Dr. Naeem Khan . Abstract-Healthcare industry contains very large and sensitive data and needs to be handled very carefully. Diabetes Mellitus is one of the growing extremely fatal diseases all over the world. Medical professionals want a reliable prediction system to diagnose Diabetes.
Cancer Detection using Image Processing and Machine …
www.ijert.orgCancer Detection using Image Processing and Machine Learning Shweta Suresh Naik Dept. of ISE, Information Technology SDMCET Dharwad, India Dr. Anita Dixit Dept. of ISE, Information Technology SDMCET Dharwad, India. Abstract— Cancer is an irregular extension of cells and one of the regular diseases in India which has lead to 0.3
INTRODUCTION MACHINE LEARNING
ai.stanford.eduMachine learning methods can be used for on-the-job improvement of existing machine designs. The amount of knowledge available about certain tasks might be too large for explicit encoding by humans. Machines that learn this knowledge gradually might be able to capture more of it than humans would want to
MACHINE LEARNING LABORATORY MANUAL - JNIT
www.jnit.orgMachine learning Machine learning is a subset of artificial intelligence in the field of computer science that often uses statistical techniques to give computers the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed. In the past
Machine Learning with Python - Tutorialspoint
www.tutorialspoint.comMachine Learning with Python ii About the Tutorial Machine Learning (ML) is basically that field of computer science with the help of which computer systems can provide sense to data in much the same way as human beings do.