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Customer feedback analysis for product improvement – Complete Phd and Masters Thesis

Customer feedback analysis for product improvement – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s competitive market, it is essential for businesses to continuously improve their products to meet the ever-changing needs and preferences of their customers. One of the most valuable sources of information for…

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Credit Risk Assessment for Peer-to-Peer Lending Platforms. – Complete Phd and Masters Thesis

Credit Risk Assessment for Peer-to-Peer Lending Platforms. – Complete Phd and Masters Thesis

[ad_1] Introduction Over the past decade, Peer-to-Peer (P2P) lending platforms have emerged as a popular alternative to traditional banking systems, providing individuals and businesses with access to loans from individual investors. However, as with any…

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Customer Churn Prediction for Online Gaming Platforms – Complete Phd and Masters Thesis

Customer Churn Prediction for Online Gaming Platforms – Complete Phd and Masters Thesis

[ad_1] Introduction Customer churn prediction is a crucial aspect of business management, particularly in the online gaming industry. With the rapid growth of online gaming platforms, retaining customers and predicting their behavior has become more…

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Sentiment Analysis for Reputation Monitoring – Complete Phd and Masters Thesis

Sentiment Analysis for Reputation Monitoring – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, online reputation is more important than ever for individuals, businesses, and organizations. With the rise of social media and review websites, it is easy for people to publicly share…

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Real-time Fraud Detection for Cryptocurrency Exchanges – Complete Phd and Masters Thesis

Real-time Fraud Detection for Cryptocurrency Exchanges – Complete Phd and Masters Thesis

[ad_1] Introduction: Cryptocurrency exchanges play a crucial role in the digital economy by providing a platform for users to buy, sell, and trade various cryptocurrencies. However, with the increasing popularity of cryptocurrencies, these exchanges have…

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Anomaly Detection in Smart Homes – Complete Phd and Masters Thesis

Anomaly Detection in Smart Homes – Complete Phd and Masters Thesis

[ad_1] Introduction Anomaly detection in smart homes has become an essential research area due to the increasing adoption of smart devices and Internet of Things (IoT) technologies in residential settings. With the proliferation of sensors…

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Time Series Forecasting for Economic Indicators – Complete Phd and Masters Thesis

Time Series Forecasting for Economic Indicators – Complete Phd and Masters Thesis

[ad_1] Introduction Time series forecasting has been widely used in various fields such as finance, economics, and business to predict future values based on historical data. In the context of economic indicators, time series forecasting…

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Image Compression Using Deep Learning – Complete Phd and Masters Thesis

Image Compression Using Deep Learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning techniques have shown great potential in a wide range of applications including image recognition, natural language processing, and autonomous driving. One area where deep learning has made significant…

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Credit Default Prediction for Peer-to-Peer Lending – Complete Phd and Masters Thesis

Credit Default Prediction for Peer-to-Peer Lending – Complete Phd and Masters Thesis

[ad_1] Introduction Peer-to-peer lending has emerged as a popular alternative financing option for individuals and businesses. However, one of the key challenges in peer-to-peer lending is the prediction of credit default. Credit default prediction plays…

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Predictive Analytics for Supply Chain Resilience – Complete Phd and Masters Thesis

Predictive Analytics for Supply Chain Resilience – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s highly competitive and volatile business environment, supply chain resilience has become a critical factor for the success of organizations. The ability to predict and mitigate potential risks within the supply chain…

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