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Anomaly Detection in Financial Transactions using Machine Learning and Deep Learning techniques for Fraud Detection. – Complete Project Thesis

The project thesis focuses on developing and implementing Machine Learning and Deep Learning techniques for detecting anomalies in financial transactions to enhance fraud detection in the financial sector. By utilizing advanced algorithms, the goal is…

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Developing a Machine Learning Model for Predicting Stock Market Trends using Sentiment Analysis of News Articles and Social Media Data – Complete Project Thesis

This project aims to create a machine learning model that predicts stock market trends by analyzing sentiment from news articles and social media data. By utilizing natural language processing techniques, the model can gauge public…

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Predicting Customer Churn in Telecommunication Industry using Machine Learning algorithms and Big Data analysis – Complete Project Thesis

The project thesis aims to utilize Machine Learning algorithms and Big Data analysis techniques to predict customer churn in the telecommunication industry. By analyzing various factors contributing to customer dissatisfaction and churn, such as service…

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Using Natural Language Processing for Sentiment Analysis of Social Media Data collected during the COVID-19 Pandemic – Complete Project Thesis

The project thesis focuses on utilizing Natural Language Processing techniques for sentiment analysis of social media data gathered during the COVID-19 pandemic. The study aims to analyze public perceptions, emotions, and sentiments expressed on various…

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Predictive analysis of customer behavior using machine learning algorithms in the e-commerce industry. – Complete Project Thesis

This project thesis focuses on using machine learning algorithms to predict customer behavior in the e-commerce industry. By analyzing customer data, such as browsing history and past purchases, predictive analysis can forecast future actions, such…

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Predicting Customer Churn using Machine Learning Algorithms in Retail Industry – Complete Project Thesis

The project thesis focuses on predicting customer churn in the retail industry using machine learning algorithms. By analyzing customer data and behavior patterns, the goal is to identify factors that contribute to customer attrition and…

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Predicting Customer Churn in Telecommunication Industry Using Machine Learning Algorithms: A Data Science Approach. – Complete Project Thesis

This project thesis focuses on predicting customer churn in the telecommunication industry by employing machine learning algorithms. Through a data science approach, historical customer data is analyzed to develop models that can forecast which customers…

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Predictive Maintenance Using Machine Learning Algorithms for Industrial Equipment – Complete Project Thesis

The project thesis focuses on the application of machine learning algorithms for predictive maintenance of industrial equipment. By leveraging advanced analytics, the aim is to predict equipment failures before they occur, minimizing downtime and optimizing…

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Predictive analytics for social media marketing using machine learning techniques. – Complete Project Thesis

The project thesis focuses on developing predictive analytics for social media marketing by utilizing machine learning techniques. By analyzing patterns in social media data, the goal is to predict consumer behavior, optimize marketing strategies, and…

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Developing a predictive model using machine learning algorithms for analyzing customer churn in the telecommunication industry. – Complete Project Thesis

The project thesis aims to develop a predictive model utilizing machine learning algorithms to analyze customer churn in the telecommunications industry. By leveraging historical data, the model will identify patterns and factors that contribute to…

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