Regression model package predicting the energy above hull of perovskite oxides.

Python package for automated hyperparameter-optimization of common machine-learning algorithms

Example using Optuna to tune hyper parameters for LightGBM

Kaggle: Tabular Playground Series - Jan 2021

A LGBM based search engine which can search for computer vision papers published on CVPR and ICCV from 2015 to 2021

A machine learning application aimed at predicting employee salaries based on various features such as experience, education level, location, etc. By using different models and techniques, the project seeks to present an optimized model for salary predictions.

Bronze submission for Avito Demand Prediction competition on Kaggle

Hyperparameter optimisation utility for lightgbm and xgboost using hyperopt.

CCF-BDCI-2022 返乡发展人群预测

This project is a demonstration of a Financial Risk Assessment application that predicts risk tolerance based on user-provided financial data. It combines machine learning models (Logistic Regression and LightGBM), FastAPI for the backend, and Streamlit for the frontend to create an interactive web application.

Final Project of the MLOps Zoomcamp hosted by DataTalksClub.

TalkingData AdTracking Fraud Detection Challenge

[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템

Forecast order sales.

Code for a top 8% public and a top 11% private leaderboard ranking on the Kaggle HomeCredit competition. The goal was to predict whether a borrower would experience difficulties on repaying a specific loan.