rakiiibul
Research Assistant at Interdisciplinary Centre for Security, Reliability and Trust (SnT)- Ubiquitous and Intelligent Systems (UBIX)
University of LuxembourgEsch-sur-Alzette, Luxembourg
Pinned Repositories
Android_Project
App-dogs-classifier
auto_insurance_fraud
Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.
DATA_VIZ
A data visualization project.
House-hold-electrice-power-consumptiuon_LSTM
LF_Anonymization
An anonymization python tools for anonymize Face and License Plate.
MLECG
This research addresses the critical domain of anomaly detection in real-time ECG signals, a pivotal aspect in healthcare monitoring. The study encompasses comprehensive data preprocessing, detailed analysis of ECG graphs, and the application of diverse machine learning models, including logistic regression, random forest, XGboost,LSTM.
OWL
SentimentLens-NLP
SentimentLens is a sentiment analysis project designed to classify text reviews into positive or negative categories using Python and Natural Language Processing (NLP) techniques. The goal of this project to preprocess textual data, build and evaluate machine learning models, and accurately determine the sentiment.
spa-app
A shiny application where performed data wrangling techniques such as data restructuring. In addition, the application is also dockerized.
rakiiibul's Repositories
rakiiibul/auto_insurance_fraud
Data mining and machine learning libraries are used in this machine learning project to detect the fraud. More importantly, this report focuses on vehicle insurance company claim statistics to use the gathered knowledge from actuarial Science Course.
rakiiibul/spa-app
A shiny application where performed data wrangling techniques such as data restructuring. In addition, the application is also dockerized.
rakiiibul/Android_Project
rakiiibul/DATA_VIZ
A data visualization project.
rakiiibul/House-hold-electrice-power-consumptiuon_LSTM
rakiiibul/OWL
rakiiibul/App-dogs-classifier
rakiiibul/automated-dashboard-creating_llm
rakiiibul/Causal-learning-assignment
rakiiibul/Customer-Personality-Analysis-with-R
An Analisys of customers with R program language.
rakiiibul/LF_Anonymization
An anonymization python tools for anonymize Face and License Plate.
rakiiibul/MLECG
This research addresses the critical domain of anomaly detection in real-time ECG signals, a pivotal aspect in healthcare monitoring. The study encompasses comprehensive data preprocessing, detailed analysis of ECG graphs, and the application of diverse machine learning models, including logistic regression, random forest, XGboost,LSTM.
rakiiibul/stock-market-analysis_ML-Project
rakiiibul/dark_theme_Rstudio
A dark theme for R studio.
rakiiibul/DATA-VIZ__DATA-SCIENTIST-JOBS
rakiiibul/data_AV_PBI
rakiiibul/emotion_detector_NLP
rakiiibul/face_rec_openmpi
rakiiibul/Inventory-management
rakiiibul/Javascript
rakiiibul/Kids_Math
rakiiibul/LibraryManagement
rakiiibul/mcq-gen-nlp
This project basically generate MCQ questions from the text.
rakiiibul/MoveNetLightning
A worked example of using MoveNet Lightning for real time pose estimation.
rakiiibul/Py-ML_PREDICT-BIO-AGE
rakiiibul/rakiiibul
rakiiibul/rakiiibul.github.io
rakiiibul/reactJS
rakiiibul/store-sales-time-series-forecasting
This is an ongoing kaggle competition of time-series forecasting to forecast store sales on data from Corporación Favorita, a large Ecuadorian-based grocery retailer. Specifically, I'll try to build a model that more accurately predicts the unit sales for thousands of items sold at different Favorita stores.
rakiiibul/URI