A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.

I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.

Predictive Machine Learning projects

Analysis on hospital readmission data for diabetic patients using R and Tableau

Development optimal classifiers to predict the positions of the user based on the RSSI readings from iBeacon devices

Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.

A little lab of learning algorithms (in LUA). Less XAI, but better

Boston Housing Prediction - 2nd project for Udacity's Machine Learning Nanodegree

Research work on credit scoring using geospatial data and techniques

Binary Classification using Machine Learning

Predicting Hepatocellular Carcinoma through Supervised Machine Learning

An intelligent machine learning system for detecting fraudulent credit card transactions using multiple ML algorithms and ensemble methods. The system provides a web-based dashboard for real-time fraud detection, data visualization, and model performance analysis.

Predicting house price using decision tree regressior.

Supervised ML models to predict student's performance in high school

My big exercise in Decision Support System at HUST 20192

Slides, exercises, and exams for my course "Statistical Learning with R" (Ecole Normale Supérieure Paris-Saclay, 2023)

Advanced Stacking with ensemble model

Context: Customer behavior prediction to retain customers

Modelling road to victory in Pokémon Unite 🏆 with statistical learning methods in R 🧪