Browsing by Subject "Naive bayes"
Now showing items 1-11 of 11
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Analysis on the effects of wallstreetbets on the stock market
(Brac University, 2022-01)In January of 2021, the stocks of various companies, i.e. Gamestop, AMC etc. had a huge surge in price. The incident was attributed to redditors of the subreddit called r/wallstreetbets making a massively coordinated ... -
Automatic classified myocardial infarction detection using machine learning and forewarning system with location of the patient using GSM module
(Brac University, 2021-09)Myocardial Infarction (MI) is a crucially leading reasons of huge mortality and modality all over the world. The prior reasons for most of the demise are delayed diagnosis and disrupted medical attention. Our endeavor ... -
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a signifcant public health ... -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)Color vision approach using auto encoded technique is an effective way to detect objects. This approach considers various factors like movement detection, size and shape detection, color detection etc. Here we have ... -
Enhancing email management and filtering through naive bayes based spam detection : a proposed email application solution
(Brac University, 2023-05)Spam emails make up almost half of the global mail traffic. These emails take up a large amount of space in the user’s inbox. However, a lot of time malware and viruses are embedded in these emails in the form of attachments ... -
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)In the current age of social media, information spreads like wildfire. Unfortunately, this also means that misinformation or rumors can spread easily. The spread of this misinformation can have negative consequences for ... -
Interpretable credit card fraud detection using deep learning leveraging XAI
(Brac University, 2022-09)Due to the internet's widespread accessibility, more and more businesses are bringing their offerings online. Besides, because of the growth of E-commerce websites, both individuals and businesses that deal in finances ... -
Predicting brain age from EEG signals using machine learning and neural network
(Brac University, 2022-05)The objective of this study was to develop a technique for calculating the ages of people’s brains by analyzing EEG data signals and using machine learning algorithms on a Raspberry Pi. We employed many machine learning ... -
Predicting subject area interest of a student using naive bayes
(BRAC University, 2016-03) -
Rating detection by reviews using ML and NLP towards mobile phone recommendation
(Brac University, 2023-01)Product recommendation is a type of marketing tool that has become increasingly important for businesses as well as in purchasing goods in the digital age. Prod uct recommendation is the process of suggesting items to ... -
Sentiment analysis to determine employee job satisfaction using machine learning techniques
(Brac University, 2023-01)Over the past three years, the COVID-19 epidemic had a significant impact on the labor market. Employees have been laid off and the majority of them have changed careers. If they can collect more datasets in the future, ...
