MLflow XGBoost flavour with probabilities

Automated drug repurposing workflow for rare diseases – using Flask, Monarch API, DGIdb API and XGboost.

This project employs XGBoost regression and XGBoost classifier model to predict user order and user churn on online travel agency data. Reach 97% prediction accuracy.

An Entity Resolution project deploying a doctor-to-grant XGBoost classifier using Vector Search with HNSW Graphs

House Price Prediction using Xgboost model in python

ED Triage prediction

利用機器學習方法預測產品的需求量

In this project I analyzed and discussed the main causes for employee turnover by performing survival analysis and implementing a gradient-boosting decision trees, in order to find its reasons.

LiFePo4(LFP) Battery State of Charge (SOC) estimation from BMS raw data

Sports betting match predictor

In this project, XGBoost is applied to forecast real estate prices using the Boston Housing Dataset. The primary aim is to create an effective predictive model, assess its accuracy through metrics like Mean Absolute Error (MAE), and refine its performance by tuning hyperparameters with HYPEROPT.

Data Mining Course Project - Diabetes Classification with XGBoost - Winter 2022

conducted in-depth analysis of a large dataset containing historical sales data, product attributes and store information. --> Developed and implemented machine learning models, including regression algorithms, to accurately forecast sales for different products and stores and we finally obtained a better result through random forest regression alg

Turkey Earthquake Prediction 🌍📊: Unleashing AI/ML powers in Python for seismic forecasts. #MachineLearning #Python #DataScience 🤖

Machine learning model built for IBM Hack 2020 challenge. ⚙️

Usual linear regression or XGBoost? Combo! Or how I was investigating the impact of intellectual capital on NASDAQ-100 capitalization during 2 years.

Hotel Reservation Prediction using XGBoost