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Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Predictive Modeling"

Browsing DEPARTMENT OF COMPUTER SCIENCE & ENGINEERING by Subject "Predictive Modeling"

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  • An advanced deep learning approach for predicting liver cirrhosis 
    Sohag, Sohanur Rahman (Daffodil International University, 2024-01-01)
    This study provides an advanced deep learning method for predicting liver cirrhosis using a Kaggle dataset of 615 entries with a target attribute "Liver Cirrhosis Status" that classifies answers as 'Yes' (75 cases) or ...
  • Exploration on Use of time series analysis and machine learning to predict the population of countries and global Trend 
    Tanmoy, F.M. (Daffodil International University, 2024-01-01)
    This study focuses on the crucial task of forecasting population growth, a fundamental aspect of planning for a nation's future development. Utilizing advanced machine learning techniques, we aim to predict future ...
  • Football Player Position Prediction Using ML 
    Miah, Md. Hasan (Daffodil International University, 2024-01-01)
    Precisely anticipating a player's position is critical to the success of team tactics and talent scouting in football, as every position requires a unique set of talents. This thesis uses an extensive dataset of 100,995 ...
  • Leveraging Algorithms for depression detection in natural language processing 
    Hassan, Nazmul (Daffodil International University, 2024-01-01)
    This research presents a comprehensive exploration of depression identification methodologies, employing a diverse array of classification algorithms, including Logistic Regression, Random Forest, Gradient Boosting, ...
  • Lung-Cancer stage prediction using Machine Learning Approach 
    Patwary, Md Abdus Salam (Daffodil International University, 2024-01-01)
    Physical illnesses like lung cancer have become more common nowadays. The world nowadays is aware of the subject. The disease known as lung cancer affects most individuals. A measure of the sickness is the variations in ...

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