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Predictive modeling for student dropout prevention using educational data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for student dropout prevention using educational data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Education is a fundamental aspect of society that plays a crucial role in shaping individuals and their future. However, one of the major challenges faced in the education system is student dropout. Student…

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Fake review detection for app stores using natural language processing – Complete Phd and Masters Thesis

Fake review detection for app stores using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction: Fake reviews on app stores have become a growing concern for both developers and consumers. These reviews can significantly impact a user’s decision to download or purchase an app, leading to unfair advantages…

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Customer churn prediction in the e-learning industry using student engagement data and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the e-learning industry using student engagement data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: The growth of the e-learning industry in recent years has transformed the way educational content is delivered to students across the globe. With the increasing popularity of online courses and virtual classrooms, e-learning…

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Recommender systems for online dating using user profiles and interaction data – Complete Phd and Masters Thesis

Recommender systems for online dating using user profiles and interaction data – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of online dating platforms, the need for effective recommender systems has become increasingly important. Recommender systems utilize user profiles and interaction data to suggest potential matches to users, ultimately improving…

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Predictive modeling for supply chain disruptions using supplier data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for supply chain disruptions using supplier data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, supply chain disruptions have become a major concern for businesses around the world. These disruptions can lead to significant financial losses, delays in production, and damage to a company’s reputation.…

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and crowdsourcing – Complete Phd and Masters Thesis

and crowdsourcing – Complete Phd and Masters Thesis

[ad_1] Introduction Crowdsourcing has become a popular and effective method for businesses and organizations to harness the collective intelligence and resources of a large group of people, typically through an online platform. This research aims…

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Fake news detection for social media using natural language processing – Complete Phd and Masters Thesis

Fake news detection for social media using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the spread of fake news on social media platforms has become a pressing issue that has raised concerns about the credibility of information shared online. Fake news can have serious…

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Traffic congestion prediction for ride-sharing services using deep learning and GPS data – Complete Phd and Masters Thesis

Traffic congestion prediction for ride-sharing services using deep learning and GPS data – Complete Phd and Masters Thesis

[ad_1] Introduction: Traffic congestion is a significant issue in urban areas worldwide, leading to increased travel times, air pollution, and overall reduced quality of life for residents. Ride-sharing services have become increasingly popular in recent…

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Sentiment analysis of customer support interactions using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of customer support interactions using text mining and deep learning – Complete Phd and Masters Thesis

[ad_1] Thesis Overview Title: Sentiment Analysis of Customer Support Interactions using Text Mining and Deep Learning Introduction: In today’s digital age, customer support interactions play a crucial role in determining the success of businesses. Understanding…

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Anomaly detection in manufacturing processes using sensor data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in manufacturing processes using sensor data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction Anomaly detection in manufacturing processes using sensor data and unsupervised learning has become an important area of research in recent years. The ability to detect anomalies in manufacturing processes can help companies improve…

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