Rakib Hossain Sajib
rakibnsajib
Data Science Enthusiast | ML Researcher | CSE Graduate
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Top Repositories
A Jupyter notebook that applies machine learning techniques to detect credit card fraud on imbalanced data. It covers data preprocessing, EDA, handling class imbalance, training classifiers (Logistic Regression, Decision Tree, RandomForest), and saving the trained models.
AI-powered medical assistant using LLaMA-3.2-11B-Vision, Whisper, and ElevenLabs/gTTS for image analysis, speech recognition, and real-time medical insights.
DDoS Attack Detection and Classification using Machine Learning. A multiclass and multidimensional approach with models like Random Forest, XGBoost, MLP, KNN, and Extra Trees, trained on the CICDDoS2019 dataset. Includes model evaluation, feature engineering, and performance visualization.
Config files for my GitHub profile.
A Streamlit app that predicts the best crop to grow based on soil and environmental conditions using a machine learning model. Input parameters like nitrogen, phosphorus, and rainfall to receive crop recommendations.
Machine learning models for predicting Titanic survival. Includes data preprocessing, model training, and performance comparison using various algorithms. Features a Random Forest model with the highest ROC AUC for accurate predictions.
Repositories
11DDoS Attack Detection and Classification using Machine Learning. A multiclass and multidimensional approach with models like Random Forest, XGBoost, MLP, KNN, and Extra Trees, trained on the CICDDoS2019 dataset. Includes model evaluation, feature engineering, and performance visualization.
Policy‑grounded customer support copilot with RAG, citations, and a clean agent‑focused UI.
Daily Shop is a full‑stack Django + DRF commerce backend with a polished storefront UI, JWT auth, cart/checkout, orders, and Stripe/PayPal integrations.
Created from HugoBlox template: theme-academic-cv
AI-powered medical assistant using LLaMA-3.2-11B-Vision, Whisper, and ElevenLabs/gTTS for image analysis, speech recognition, and real-time medical insights.
Config files for my GitHub profile.
Package Tracker is a full-stack demo that blends a chatbot-style frontend with REST and GraphQL APIs, role-aware JWT auth, and SQLite storage, letting admins manage packages and users while offering straightforward Postman-friendly workflows.
No description provided.
A Jupyter notebook that applies machine learning techniques to detect credit card fraud on imbalanced data. It covers data preprocessing, EDA, handling class imbalance, training classifiers (Logistic Regression, Decision Tree, RandomForest), and saving the trained models.
A Streamlit app that predicts the best crop to grow based on soil and environmental conditions using a machine learning model. Input parameters like nitrogen, phosphorus, and rainfall to receive crop recommendations.
Machine learning models for predicting Titanic survival. Includes data preprocessing, model training, and performance comparison using various algorithms. Features a Random Forest model with the highest ROC AUC for accurate predictions.