Browsing by Subject "XGBoost"
Now showing items 1-20 of 28
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Analysing Facebook user risk using machine learning algorithm
(Brac University, 2020-04)Now-a-days people exchange their personal information and interact with companions and close relatives in a way which is revolutionized. In any case, the majority of them don’t have the foggiest idea how to utilize, where ... -
Analysis of software fault prediction using machine learning algorithm
(Brac University, 2021-01)Today software performs a requisite role in our daily lives. Software's complexity keeps growing. The increasing complexity of any software system making it very di cult to improve its quality. The performance of the ... -
An analysis on the effects of parenting style on offspring’s behavior using machine learning
(Brac University, 2022-12-04)Parents are usually the most important person for a human being as they encourage and support an offspring’s physical, emotional, social, and intellectual development from infancy to maturity. An individual faces various ... -
Automated model to rank candidates for a job position based on data extracted from LinkedIn profiles
(Brac University, 2023-01)Recruitment process has become very crucial in the vast job market and being able to recruit effectively is a challenge. This is because, there is a scarcity of suitable candidates for any particular job opening. Moreover, ... -
Automated online exam proctoring system using computer vision and hybrid ML classi er
(Brac University, 2021-10)The term online proctoring comes hand in hand with online education. There are not many exceptions between traditional education and the online education system except for the fact that online education, as well as online ... -
Affective state recognition through analysis of electroencephalogram signals by using extreme gradient boosting
(Brac University, 2021-01)Emotion analysis has become a very important aspect in everyday life. It gives a detailed understanding of the behavior of human. In this research, we have focused on three dimensions of emotion. These are arousal (calm ... -
Bank loan prediction using machine learning
(Brac University, 2023-05)The Banking sector is a core foundation of the global economy as it facilitates the financial transactions while providing fundings in various purposes. One key aspect in the banking industry is the ability to accurately ... -
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)The internet of things is one of today’s most revolutionary technologies. Because of its pervasiveness, increasing network connection capacity, and diversity of linked items, the internet of things (IoT) is adaptable and ... -
Comparative analysis of machine learning techniques in optimal site selection
(Brac University, 2023-01)Site selection is a crucial aspect of many businesses, as a company’s location can sig nificantly impact its success. In recent years, machine learning techniques have been increasingly used to assist with optimal site ... -
Comparative study of toxic comments classification using machine learning algorithms
(Brac University, 2021-01)The rapid growth of information technology and the disruptive transformation of social media have happened in recent years. Websites like Facebook, Twitter, Instagram, where people can express their thoughts or feelings ... -
Early detection of chronic kidney disease using machine learning
(Brac University, 2019-09)Chronic kidney disease (CKD) is a global prevalent ailment that causes lives in a predominant number. CKD is the 11th most deadly cause of global mortality with 1.2 million death each year and according to kidney Foundation ... -
Eve-teasing detection from video footage using computer vision and artificial intelligence
(Brac University, 2023-01)We present computer vision approaches combined with machine learning techniques to detect eve-teasing from any video material, which may be used in any situa tion. Eve teasing is a colloquial term for public sexual ... -
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)Nowadays, research on many diseases such as cancer has been ongoing to determine how to reduce and minimise the effect. There are many characteristics of cancer that can be identified by their consistent cell proliferation ... -
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
(Brac University, 2019-12)This study shows importance hierarchy of financial factors of corporations’ Goodwill and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ... -
Flight fare prediction using machine learning
(Brac University, 2022-01)This paper deals with the forecast of Flight Price of domestic airlines.Revenue management relies heavily on forecasting. Air passengers (buyers) frequently search for the ideal time to buy tickets in order to save as ... -
Hate speech detection from social networking posts using CNN and XGBoost
(Brac University, 2019-12)The increasing growth of social networks and microblogging websites have enabled people from different backgrounds and diverse moral codes to communicate with each other quite easily. While social media promotes communication ... -
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)Predictive analytics has received a lot of attention in recent years due to advances in supporting technology, particularly in the areas of big data and machine learning. In recent years, the uses of disease prediction ... -
Heart disease prediction using techniques of classification in machine learning
(Brac University, 2021-06)In this thesis we have examined the accuracy of various classifiers to predict heart disease and heart vessel blockage. We have also analyzed the key features contribut ing to heart vessel blockage. We have used a dataset ... -
An IoT-based ambient assisted living for elderly care and monitoring in COVID-19 pandemic using arti cial intelligence and deep learning
(Brac University, 2021-06)In late 2019, a novel Coronavirus broke out from China, which has dispersed all over the globe and has taken away countless lives. Despite the fact that every person is at risk of getting infected with the virus, older ... -
A machine learning approach to predict young voter enthusiasm based on non-political factors
(Brac University, 2020-04)The right to vote is considered to be the backbone of democracy. As we are entering the third decade of 21st century more and more countries around the world are adopting the democratic government system. One of most ...
