Suggesting an Area to Invest Using Decision Trees with Regression Algorithm in Machine Learning and Retrieving Data for Additional Decision Making by Using Textual Analysis In NLP

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dc.contributor.authorSUCHIT, R
dc.contributor.authorNIKILESH RAJ, N
dc.contributor.authorKAUSHIK, JEYARAMAN
dc.date.accessioned2018-06-19T10:45:36Z
dc.date.available2018-06-19T10:45:36Z
dc.date.issued2018-06-19T10:45:36Z
dc.description.abstractThe prime aim of this project is to suggest stocks to invest by using decision tree and regression algorithm in Machine Learning and enhance the decision making by performing textual analysis using NLP. We aim to develop a program which serves an accurate solution for suggesting stocks according to a predefined time interval and recommend investors to buy/sell to maximize profit. This is implemented by passing a list of companies through a classifier and sort them dynamically into various categories based on which historical data analysis or textual analysis is performed. Weights being assigned to different categories. The result is displayed in the front end and can be seen on the home page in the browser.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/9446
dc.language.isoenen_US
dc.subjectSUCHIT Ren_US
dc.subjectNIKILESH RAJ Nen_US
dc.subjectKAUSHIK JEYARAMANen_US
dc.subject1NH14CS730en_US
dc.subject1NH14CS749en_US
dc.subject1NH14CS743en_US
dc.titleSuggesting an Area to Invest Using Decision Trees with Regression Algorithm in Machine Learning and Retrieving Data for Additional Decision Making by Using Textual Analysis In NLPen_US
dc.typeOtheren_US
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