[ad_1] Introduction Sentiment analysis is a technique used to extract and analyze subjective information from text data, with the aim of determining the sentiment expressed in a given piece of text. In recent years, sentiment…
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[ad_1] Introduction: Time series forecasting is a crucial aspect of stock market predictions, as it allows investors and financial analysts to make informed decisions based on historical data and patterns. This research project aims to…
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[ad_1] **Thesis Overview** In recent years, the use of deep learning algorithms, particularly convolutional neural networks (CNNs), has shown significant promise in various fields, including medical image analysis. Medical image classification, in particular, plays a…
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[ad_1] **Introduction** In the realm of financial transactions, anomaly detection plays a crucial role in identifying fraudulent activities and protecting the integrity of financial systems. Traditional fraud detection methods often rely on rule-based systems that…
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[ad_1] Introduction: The telecommunications industry is highly competitive, and customer churn is a significant concern for companies in this sector. Customer churn refers to the phenomenon of customers terminating their relationship with a company and…
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[ad_1] Introduction Machine Learning (ML) has emerged as a powerful tool in the field of supply chain management, enabling organizations to predict and optimize their supply chain operations. By utilizing ML algorithms and techniques, companies…
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[ad_1] Introduction In the competitive landscape of the telecommunications industry, companies are constantly looking for ways to gain a competitive edge through data-driven insights. One of the key tools that telecom companies are leveraging is…
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[ad_1] Introduction Manufacturing processes have traditionally relied on reactive maintenance strategies, where equipment failures are addressed only after they occur, leading to costly downtime and reduced productivity. With the advancement of data science techniques, predictive…
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[ad_1] Introduction 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…
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[ad_1] Introduction Machine learning has revolutionized various industries, including retail, by providing actionable insights and predictions to improve decision-making processes. In the retail sector, one of the key challenges faced by retailers is pricing optimization…
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