[ad_1] Introduction The banking industry is continuously evolving as banks seek to improve their customer acquisition strategies to remain competitive in the market. With the increase in competition, banks are turning to predictive modeling techniques…
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[ad_1] Introduction In recent years, deep learning has revolutionized the field of image classification by achieving state-of-the-art results in various applications such as object recognition, face detection, and medical image analysis. One area where deep…
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[ad_1] Introduction: Online dating has become a popular way for individuals to meet potential partners due to the convenience and accessibility of dating platforms. With the vast number of users on these platforms, it can…
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[ad_1] Introduction: In the era of digitalization, customer reviews on products and services have become increasingly important for businesses to understand customer satisfaction and improve service quality. Sentiment analysis, a branch of natural language processing,…
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[ad_1] Introduction Social network analysis has become an essential tool in influencer marketing and brand partnerships in recent years. With the rise of social media platforms, brands are constantly looking for ways to connect with…
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[ad_1] Introduction The retail industry is highly competitive, and businesses are constantly seeking ways to attract and retain customers in order to maximize profits. One approach that has gained popularity in recent years is predictive…
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[ad_1] Introduction In recent years, the use of technology in various industries has significantly improved processes, efficiency, and accuracy, and the insurance industry is no exception. Traffic accidents are a common occurrence worldwide, leading to…
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[ad_1] Introduction Subscription box services have gained popularity in recent years, offering customers a convenient way to receive curated products regularly. However, one major challenge faced by these companies is customer churn, where subscribers cancel…
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[ad_1] **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 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9…
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[ad_1] **Thesis Overview: Predictive Maintenance for Fleet Vehicles Using Sensor Data and Machine Learning** Introduction: Predictive maintenance is a proactive approach in maintenance management that aims to predict and prevent equipment failures before they occur.…
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