Essays about: "support vector machine"
Showing result 31 - 35 of 551 essays containing the words support vector machine.
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31. Sentimental Analysis of CyberbullyingTweets with SVM Technique
University essay fromAbstract : Background: Cyberbullying involves the use of digital technologies to harass, humiliate, or threaten individuals or groups. This form of bullying can occur on various platforms such as social media, messaging apps, gaming platforms, and mobile phones. With the outbreak of covid-19, there was a drastic increase in utilization of social media. READ MORE
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32. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. READ MORE
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33. Machine Learning based Predictive Data Analytics for Embedded Test Systems
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Organizations gather enormous amounts of data and analyze these data to extract insights that can be useful for them and help them to make better decisions. Predictive data analytics is a crucial subfield within data analytics that make accurate predictions. Predictive data analytics extracts insights from data by using machine learning algorithms. READ MORE
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34. Blink detection in eye tracking
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : This report discusses the accuracy of blink detection in eye tracking, using machine learningalgorithms. Blink detection is used in a wide variety of medicinal and psychological applica-tions such as a controller for motor impaired individuals. Image classification has recentlybeen used in eye tracking and blink detection applications. READ MORE
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35. Forecasting daily stock market trading volume using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today, brokers within the stock market brokerage industry are having difficulties with accurately forecasting the trading volume that is conducted by their customers. This is especially a problem during periods of exceptionally high or low trading volumes. READ MORE