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Browsing Project Report by Subject "Machine learning"

Browsing Project Report by Subject "Machine learning"

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  • Machine Learning Approach To Classify Mango 
    Al Asif, Abu Abdullah; Rahman, MD Habibur (Daffodil International University, 23-01-29)
    Our research titled "Machine Learning Approach To Classify Mango" is focusing the people not recognize mango species. Our work images in this research use deep learning, also known as machine learning. Python is used as a ...
  • A Machine Learning Approach to Classify Singular and Plural Numbers of Bengali Words 
    Abu Yousuf, Mohammad; Sonia, Sharmin Sultana (Daffodil International University, 2021-06-01)
    This paper discusses a method for detecting the singular and plural number of Bengali sentences using context-sensitive grammar rules and NLP that accepts almost all types of Bangla words. The study is likely to result ...
  • Machine Learning Approach to Predict Sgpa and Cgpa 
    Ahmed, Md. Tanvir; Hredoy, Md. Refat Hassan (Daffodil International University, 2021-01-28)
    Prediction of the SGPA & CGPA is a helpful thing to the university students. From this project students can easily get the prediction about their final result. So, the students will able to prepare them for a good result. ...
  • A Machine Learning Approach To Predict the Quality of Drinkable Water From Different Source 
    Ranu, Khadiza Akter (Daffodil International University, 23-01-18)
    Machine learning is now a crucial technique for data analysis, classification, and prediction due to the exponential growth in the amount of data available on the aquatic environment. Data-driven models based on machine ...
  • Machine Learning Based Approach for Predicting Diabetes in Young People of Bangladesh 
    Dipto, Prodipto Roy (Daffodil International University, 2021-05-31)
    Diabetes is one of the deadly chronic diseases that occurs when the sugar level in the blood increases abnormally due to the absence of insulin hormone. Untreated Diabetes could lead a human to his/her death. In Bangladesh, ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Depression Detection 
    Islam, Md. Mozahidul; Biswas, Saikat; Sarkar, Utpaul (Daffodil International University, 2022-01-04)
    Depression is a common disorder that causes constant mood swings and feelings of sadness. Nowadays It is considered to be a deadly disorder in the world. At present, everyone from young to old is suffering from depression ...
  • Machine Learning Based Heart Disease Prediction 
    Ahmed, Md. Sabbir; Alam, Farhina; Moitri, Neshat Tasnim (Daffodil International University, 2021-05-24)
    The heart is the most valuable muscular organ in living organisms. In our country, Now people are more sensible about their heart. A healthy heart is an interior to aggregate good health. The heart needs to care for ...
  • Machine Learning Based Sentiment Analysis on Movie Reviews 
    Rahman, A. A. Md. Minhajur (Daffodil International University, 22-09-13)
    Sentiment analysis is a recent area of research where vast amounts of data are analyzed to offer insightful information about a particular subject. It is a strong instrument that can benefit organizations, customers, and ...
  • Machine Learning Based Slow Learner Prediction in Educational Sector 
    Ela, Nurun Nahar (Daffodil International University, 2021-06-03)
    The educational sector has been proved to be a sector where improvement measures are a must to improve the system, the curriculum which changes every few years, student’s state in order to cope with the changing curriculum ...
  • Machine Learning Modeling for Car Selling Price Prediction 
    Al Mamun, Abdullah; Abdullah, Fatema; Afroz, Sanjida (Daffodil International University, 23-01-18)
    Forecasting car prices using machine learning (ML) refers to the use of ML algorithms and techniques to make assumptions of the future price of a car. This can be useful for a variety of purposes, such as helping car ...
  • Machine Learning Techniques to Precaution of Emerging Diseases in the Poultry Industry 
    Kader, Muhtasim Shafi; Akter, Jobeda (Daffodil International University, 2022-01-03)
    Nowadays poultry is the best production of animal protein. With the amazing food diversity of Bangladesh, poultry chicken has a great impact on our daily life. But some major diseases are hampering this industry frequently. ...
  • A machine learning-based approach for predicting the impact of video games on youth 
    Das, Udoy (Daffodil International University, 2024-01-01)
    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 Machine Learning-Based Traditional and Ensemble Technique for Predicting Breast Cancer 
    Mridul, Aunik Hasan; Islam, Md. Jahidul (Daffodil International University, 23-02-18)
    Breast cancer is a physical disease and increasing in recent years. The topic is known widely in the recent world. Most women are suffering from problem of breast cancer. The disease is measured by the differences between ...
  • Malignant Comment Classification Using Machine Learning Model 
    Islam, Fokhrul; Ray, Chanchal (Daffodil International University, 23-01-29)
    Online comments that are visible in public spaces typically contain a big percentage of constructive comments, but a sizeable percentage also contain toxic comments. Online datasets are collected and cleaned of noise. As ...
  • Market Sales Prediction by Analyzing Customer Buying Patterns Using Machine Learning 
    Himi, Tamanna Rahman; Zaman, Prianka Binte; Al-Amin, MD. (©Daffodil International University, 2021-12-17)
    To improve a business, a company has to analyze the type of purchases they must keep track of the merchandise that are marketing the foremost in order that they will keep stock of these class merchandise and take away ...
  • MatrrivaSha: Bangla handwritten compound character dataset and recognition 
    Ferdous, Jannatul; Karmaker, Suvrajit (Daffodil International University, 2019-12)
    At present, recognition of the Bangla handwriting compound character has been an important issue for many years. In recent years there have been application-based researches in machine learning and deep learning which ...
  • Mental Stress Detection of University Students in Bangladesh Using Machine Learning 
    Firoz, Mehedi (Daffodil International University, 23-02-18)
    These days, there is a huge problem with mental stress, and the problem is particularly widespread among students at educational institutions of higher learning. According to the views that are prevalent now, the historical ...
  • Multilabel Movie Genre Classification from Movie Subtitle Using Supervised and Unsupervised Machine Learning Approach 
    Hasan, Md. Mehedi; Debnath, Susanta Chandra; Hasan, Md. Mozahid (Daffodil International University, 2021-06-02)
    Technological breakthroughs and the interest of business entities have made the categorization of media products increasingly conventional in this digital environment. This is usually often a multilabel scenario in which ...

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