Titlebook: Machine Learning and Information Processing; Proceedings of ICMLI Debabala Swain,Prasant Kumar Pattnaik,Tushar Athaw Conference proceedings

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Credit Score Prediction Using Machine Learning,banking system. They help the economy to grow by lending loans to corporations and individuals who use this money by investing in some enterprise or business. This cash flow is essential in any healthy economy. Consequently, the unpaid or nonperforming loans put stress on economy. To deal with this

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Stock Market Prediction Using Long Short-Term Memory Model,s gradually evolved various methods to predict the stock market price such as Fundamental Analysis and Technical Analysis. Here an intelligent forecasting system using LSTM is purposed, it involves all the important factors affecting the stock market and produces the most accurate prediction. In thi

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Efficient Management of Web Personalization Through Entropy and Similarity Analysis,ied. The size of the internet increases every day and more and more content is being added to the platform, which makes it difficult to access the information that is required. Therefore, various search engines are developed that enable searching for relevant webpages according to the query provided

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Performance Analysis of Different Models for Twitter Sentiment,ments of customers regarding their products and services that they provide. Today many customers express their reviews on particular product on social media sites. If we analyze those reviews using sentiment analysis, we could know whether customers are happy or not with certain products. Twitter re

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