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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2018-06-19T10:45:36Z
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The 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.
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SUCHIT R, NIKILESH RAJ N, KAUSHIK JEYARAMAN, 1NH14CS730, 1NH14CS749, 1NH14CS743