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Browsing Project Report by Subject "Predictive Modeling"

Browsing Project Report by Subject "Predictive Modeling"

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  • Accidental prone area detection in Dhaka Metropolitan City using machine learning models 
    Jerin, Foyjunnesa (Daffodil International University, 2024-01-01)
    Dhaka, known for its status as one of the world's most densely populated areas, grapples with numerous challenges associated with urbanization and safety. This study focuses on identifying accident-prone zones within the ...
  • 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 ...
  • Body fat prediction using machine learning 
    Ahmed, Raju (Daffodil International University, 2023-08-24)
    This research paper presents the development and evaluation of machine learning algorithms for accurate and efficient body fat prediction. Three algorithms, namely linear regression, decision tree, and random forest, ...
  • A comparative analysis of machine learning algorithms for breast cancer 
    Saha, Arnab (Daffodil International University, 2024-01-24)
    With the rapid expansion of medical research in recent years, early diagnosis is now more critical than ever. A growing global population increases the risk of death from breast cancer, making it the second most severe ...
  • Dengue fever prediction using machine learning techniques 
    Mozumder, Md: Kamrul Hasan (Daffodil International University, 2024-01-01)
    The rapid and broad spread of the virus that causes dengue is a hallmark of the dengue, a global epidemic, a worldwide health problem. Using data from Kaggle, this project is about predicting Dengue Fever through machine ...
  • Dengue fever prediction using machine learning techniques 
    Mozumder, Md: Kamrul Hasan (Daffodil International University, 2024-01-25)
    The rapid and broad spread of the virus that causes dengue is a hallmark of the dengue, a global epidemic, a worldwide health problem. Using data from Kaggle, this project is about predicting Dengue Fever through machine ...
  • Depression prediction among student based on their daily activities 
    Pranty, Miskatun Ahmed (Daffodil International University, 2024-01-25)
    Depression affects most people in modern life. Inadequate treatment even leads to many people taking their own lives. Early detection and treatment of depression in patients are very easy to achieve. We are unable to ...
  • 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 ...
  • Football player position prediction using ML 
    Miah, Md. Hasan (Daffodil International University, 2024-01-25)
    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 ...
  • A machine learning based approach for predicting the impact of video games on youth 
    Das, Udoy (Daffodil International University, 2024-01-26)
    The abstract of the topic "impact of video games prediction on youth using machine learning" would succinctly summarize the key components of the research. This research explores the intersection of video games, youth ...
  • A model for predicting Ethereum future price rates using machine learning 
    Azad, Shiam Bin (Daffodil International University, 2024-01-25)
    Considered by many to be the forerunner of smart contract technology, Ethereum has become a widely used blockchain platform. Beyond being a cryptocurrency, Ethereum's main purpose is to offer a decentralized platform for ...
  • Stock price prediction and forecasting with machine learning 
    Nodi, Shaila Hossain (Daffodil International University, 2024-01-26)
    This project titled “STOCK PRICE PREDICTION AND FORECASTING WITH MACHINE LEARNING” which predict the price of stock for Bangladeshi data. Various methods such as analysis, time analysis and statistical analysis are used ...

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