Titlebook: Data Science and Analytics; 5th International Co Usha Batra,Nihar Ranjan Roy,Brajendra Panda Conference proceedings 2020 Springer Nature Si

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Michael P. Schlaile,Marcus Ehrenbergerlutants in the air at any point in time, government agencies use an air quality index. As the air quality index rises, public health risks increase. Many time series forecasting methods have been proposed to predict the air pollution so that effective measures can be taken to control it. Different m

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Chronological

https://doi.org/10.1007/978-3-319-00723-6 and provide diagnosis without the help of a specialist would decrease the burden on already overburdened clinicians. Deep learning has already made a huge impact on medical fields like cancer diagnosis, precision medicine, and can be applied to build this automated system which can diagnose renal d

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Complexity in Financial Marketstabase. Ticket pricing changes based on demand and time, and there can be significant difference in price. This dataset has been designed the team of Data Scientists named Pedro Mu?oz and David Ca?ones. The data is well collected for using it with machine learning models to predict fare (price) of a

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AMITY

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Complexity in the Clinical Field, Revisited the dataset, which affect the cost of an airline ticket. The machine learning model Decision Tree Regressor is applied to the features such as Airline, Date of Journey, Source, Destination, Route, Duration, etc., which is used to analyze and predict the air ticket prices. The prediction accuracy is

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https://doi.org/10.1007/978-3-031-14949-8s processes of testing, and calibration procedure and control. Furthermore, the static and dynamic performance of a transduction element is pretentious undesirably by ambience variations around them. In fact, the effect of this change in environment on the transducer is quiet non-linear. The delinqu

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Nature-Nurture and the Epigenomeis describes about the lack of educational facilities in the state. Predicting literacy rate of Chhattisgarh will help in determining the future status of the state. This will further help to take necessary action in the support of promoting literacy in the state. The main reason for lack of literac