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Customer segmentation for targeted marketing using clustering algorithms – Complete Phd and Masters Thesis

Customer segmentation for targeted marketing using clustering algorithms – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, businesses have been increasingly utilizing customer segmentation for targeted marketing purposes. Customer segmentation involves dividing customers into groups based on shared characteristics or behaviors, allowing businesses to tailor their marketing…

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Fraud detection in insurance claims using machine learning – Complete Phd and Masters Thesis

Fraud detection in insurance claims using machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Fraud in insurance claims is a significant issue that impacts both insurance companies and policyholders. Detecting fraudulent claims is a complex and challenging task due to the diverse nature of fraudulent activities. Machine…

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Sentiment analysis of movie reviews using natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of movie reviews using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the exponential growth of online movie review platforms has provided moviegoers with a plethora of opinions and critiques on the latest films. Analyzing these reviews manually can be a daunting…

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Recommender systems for music streaming services using matrix factorization – Complete Phd and Masters Thesis

Recommender systems for music streaming services using matrix factorization – Complete Phd and Masters Thesis

[ad_1] Introduction Recommender systems have become an essential tool for music streaming services in recent years, as they help users discover new music based on their preferences and behavior. One popular method for building recommender…

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Sentiment analysis of employee feedback using text mining – Complete Phd and Masters Thesis

Sentiment analysis of employee feedback using text mining – Complete Phd and Masters Thesis

[ad_1] Introduction Employee feedback is crucial for the growth and success of any organization. It provides valuable insights into employee satisfaction, engagement, and overall organizational culture. However, analyzing this feedback manually can be a time-consuming…

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Predictive modeling for loan default using financial data – Complete Phd and Masters Thesis

Predictive modeling for loan default using financial data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, predictive modeling has become an integral part of financial institutions’ decision-making processes, especially in the area of loan default prediction. Predictive modeling is used to analyze historical data and make…

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Fake news detection using natural language processing and machine learning – Complete Phd and Masters Thesis

Fake news detection using natural language processing and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Fake news has become a pressing issue in today’s society, with the rapid spread of misinformation and disinformation through various online platforms. Detecting and preventing the spread of fake news is crucial to…

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Predicting customer lifetime value using machine learning – Complete Phd and Masters Thesis

Predicting customer lifetime value using machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s competitive business environment, understanding and predicting customer lifetime value (CLTV) has become increasingly important for companies to effectively manage their customer relationships and maximize profitability. CLTV is a crucial metric that…

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Fraud detection in credit card transactions using machine learning – Complete Phd and Masters Thesis

Fraud detection in credit card transactions using machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Fraudulent activities in credit card transactions have been a significant problem for financial institutions and cardholders. With the advancement of technology, fraudsters have become more sophisticated in their methods, making it challenging to…

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Recommender systems for e-commerce using collaborative filtering – Complete Phd and Masters Thesis

Recommender systems for e-commerce using collaborative filtering – Complete Phd and Masters Thesis

[ad_1] Introduction In the age of e-commerce, personalized recommendation systems have become an essential tool for online retailers to increase sales and customer satisfaction. Collaborative filtering is a popular technique used in recommender systems to…

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