[ad_1] Thesis Overview: Title: Predictive modeling for student performance using educational data and machine learning Introduction: The use of predictive modeling in education has gained increasing attention in recent years. With the advancements in machine…
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[ad_1] Introduction In recent years, the proliferation of fake news has become a significant challenge in the digital era. With the rise of social media and online platforms, fake news has the potential to spread…
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[ad_1] Introduction: Social media has become an integral part of people’s daily lives, providing a platform for individuals to express their opinions, thoughts, and feelings about various topics, including brands. Brands are increasingly interested in…
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[ad_1] Thesis Title: Customer Segmentation for Personalized Marketing Using Clustering Algorithms and Demographic Data Chapter 1: Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6…
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[ad_1] **Introduction** In recent years, the proliferation of online hotel reviews has provided a valuable resource for both travelers seeking information and hotels wanting to assess customer satisfaction. Sentiment analysis, a subfield of natural language…
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[ad_1] Introduction The use of machine learning in healthcare has been gaining popularity in recent years, with researchers and clinicians exploring its potential applications in predicting patient outcomes. One such application is predicting patient mortality…
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[ad_1] Thesis Overview Title: Recommender Systems for News Articles using Content-Based Filtering Introduction In today’s digital age, the vast amount of information available online can be overwhelming for users to navigate. Recommender systems offer a…
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[ad_1] Introduction: Demand forecasting is a crucial element in retail inventory management as it aids in optimizing inventory levels, reducing costs, and improving customer satisfaction. Time series analysis is a commonly used technique in forecasting…
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[ad_1] Introduction: In recent years, the use of predictive modeling for credit risk assessment has gained significant attention in the financial industry. This approach allows financial institutions to analyze historical data and predict the creditworthiness…
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[ad_1] Introduction: Traffic congestion is a major issue that affects both urban and rural areas worldwide, leading to increased travel times, air pollution, and economic losses. In recent years, there has been a growing interest…
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