Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions. Now a days students placements plays vital role in academic establishments. Admission and name of establishments primarily depends on placements. The students’ employability is a major concern for the institutions offering higher education and a method for early prediction of employability of the students is always desirable to take timely action. The main aim of our project is to analyze previous year’s student’s historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. In our project we are going to predict the chance of the student to select in a particular company based upon the previously placed students. The whole process includes classification and regression algorithms in machine learning.Our main goal is to predict the student placement status using machine learning techniques.
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Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. Codice articolo 26400809359
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 395600464
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18400809349
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions. Now a days students placements plays vital role in academic establishments. Admission and name of establishments primarily depends on placements. The students' employability is a major concern for the institutions offering higher education and a method for early prediction of employability of the students is always desirable to take timely action. The main aim of our project is to analyze previous year's student's historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. In our project we are going to predict the chance of the student to select in a particular company based upon the previously placed students. The whole process includes classification and regression algorithms in machine learning.Our main goal is to predict the student placement status using machine learning techniques. 72 pp. Englisch. Codice articolo 9786205490617
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Da: moluna, Greven, Germania
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lakshmi ChoudariChoudari Lakshmi, currently working as Assistant Professor in the department of CSE, GITAM School of Technology, Visakhapatnam. She has 4 years of teaching and 3 years of industrial experience. She is expertise in Mac. Codice articolo 706504597
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions. Now a days students placements plays vital role in academic establishments. Admission and name of establishments primarily depends on placements. The students' employability is a major concern for the institutions offering higher education and a method for early prediction of employability of the students is always desirable to take timely action. The main aim of our project is to analyze previous year's student's historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. In our project we are going to predict the chance of the student to select in a particular company based upon the previously placed students. The whole process includes classification and regression algorithms in machine learning.Our main goal is to predict the student placement status using machine learning techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Codice articolo 9786205490617
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions. Now a days students placements plays vital role in academic establishments. Admission and name of establishments primarily depends on placements. The students' employability is a major concern for the institutions offering higher education and a method for early prediction of employability of the students is always desirable to take timely action. The main aim of our project is to analyze previous year's student's historical data and predict placement possibilities of current students and aids to increase the placement percentage of the institutions. In our project we are going to predict the chance of the student to select in a particular company based upon the previously placed students. The whole process includes classification and regression algorithms in machine learning.Our main goal is to predict the student placement status using machine learning techniques. Codice articolo 9786205490617
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Student Placement Probability Prediction | Using Machine Learning | Choudari Lakshmi (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786205490617 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 124663825
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