Tools for easing the handoff between AI/ML and App/SRE teams.

Here are the assignmnets for the course Data Science Masters 2.0

HR application to predict if an employee is about to quit

2023년 11월 대한산업공학회(UNIST) : 다중 역할 경험을 고려한 게임 유저 이탈 예측: 롤 게임을 중심으로, 1저자

Standardized Serverless ML Inference Platform on Kubernetes

Web application to train sklearn ML models

📝 Examples of how to use Neptune for different use cases and with various MLOps tools

Developed student performance predicting model, showing strong understanding of predictive modeling techniques.

Open-source Intrusion Detection System (IDS) designed to monitor and detect security threats on Windows, Linux, and macOS systems. The IDS includes both Host-based Intrusion Detection (HIDS) and Network-based Intrusion Detection (NIDS) components, providing comprehensive coverage for detecting and mitigating various types of cyber threats.

Linear algebra, statistic, EDA with pandas, numpy, statsmodels or SQL etc... what I learned(practiced) today....!

AI model for summarizing and categorizing news articles

首届社交群体智能算法大赛 【赛题1：社交媒体舆论场虚假账号检测】第三名(0.8248)方案

This project is a Jupyter Notebook that analyzes how a regression model can be tuned to predict the stock market prices of Tesla (TSLA). The objective was to create a prediction algorithm to forecast the closing price of Tesla stock on a specific date.

Domain adaptation toolbox compatible with scikit-learn and pytorch

This project combines meticulous data preprocessing-visualization-machine learning techniques, featuring Decision Tree, integrating Logistic Regression. Prioritizes model interpretability-accuracy through feature selection, optimizing performance evaluation for species classification using sepal & petal features.

Jupyter Notebooks Tutorials on Random Forests

A unified framework for tabular probabilistic regression and probability distributions in python

Customer Segmentation