RAKIBUL HASAN SIUM's repositories
Sentiment-Analysis-ML
This study focuses on sentiment analysis of Twitter data, employing advanced data preprocessing and machine learning algorithms to categorize tweets as positive or negative. It also explores the potential of deep learning, improving accuracy and precision, with applications in various fields.
Housing-Price-Prediction
Investigating Boston's competitive housing market in 2021, we employ diverse machine learning methods to predict property prices. This research aid buyers, sellers, and realtors, optimizing housing transactions.
Chinese-Shushi-Game
Chinese Shushi Game
Sium-Dine-Website
short project
learnopencv
Learn OpenCV : C++ and Python Examples
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
rakibulhsium.github.io
A template for creating personal website
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
personal-site
My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.
twitter-sentiment-analysis
Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.
Sentiment-Analysis-By-DL-And-ML
Implementation of various Machine Learning and Deep Learning models for Sentiment Analysis on the 'Sentiment Labelled Sentences Data Set' by University of California, Irvine.
Computer-Vision
Some computer vision projects written using openCV and python.