Jiyeong-Oh

2023-HAI-Kaggle-Study

2023년 1학기 HAI 캐글스터디 활동 사항을 기록하기 위한 repo입니다.

Apriori_Implementation

Apriori 알고리즘 구현으로 Association Rules를 추출해보자 (Association Rules with Apriori Algorithm)

CIFAR-10-Classification-with-MLP-and-ResNet-20

This covers the process of comparing two models: MLP and ResNet-20. By implementing each model and using it to classify CIFAR-10 data, the goal is to understand how each model works and analyze which model is advantageous for classifying image data.

Classification-Model-Implementation-with-Pytorch

This covers the process of designing multiple models and tuning hyperparameters, starting with loading datasets using the library, to broaden the understanding of the model itself and the factors that affect its performance.

Coding-Test-Practicing

코딩테스트 준비를 위한 연습코드 모음입니다.

DBSCAN_Implementation

DBSCAN 구현으로 Clustering하기 (Clustering with DBSCAN)

DecisionTree_Implementation

결정나무 구현으로 카테고리 데이터 분류하기 (Classifying Categorical Data with Decision Tree)

DSKUS-Disinformation_Campaign_Project

This proposes that societies could provide tools to detect and to identify fake and real news by using machine learning to categorize news into real and fake news. Then offer the model in the forms of end users’ tools that could foster better consumption of news by policy makers or citizens or organizations.

HY_AI-Basics_Python-I

Final Assignment of course AI Basics and Python 1

ZwonTR

지원센터Q의 사내 업무용 웹페이지 Repository입니다.

Jiyeong-Oh/2023-HAI-Kaggle-Study

2023년 1학기 HAI 캐글스터디 활동 사항을 기록하기 위한 repo입니다.

Jiyeong-Oh/Apriori_Implementation

Apriori 알고리즘 구현으로 Association Rules를 추출해보자 (Association Rules with Apriori Algorithm)

Jiyeong-Oh/CIFAR-10-Classification-with-MLP-and-ResNet-20

This covers the process of comparing two models: MLP and ResNet-20. By implementing each model and using it to classify CIFAR-10 data, the goal is to understand how each model works and analyze which model is advantageous for classifying image data.

Jiyeong-Oh/Classification-Model-Implementation-with-Pytorch

This covers the process of designing multiple models and tuning hyperparameters, starting with loading datasets using the library, to broaden the understanding of the model itself and the factors that affect its performance.

Jiyeong-Oh/Coding-Test-Practicing

코딩테스트 준비를 위한 연습코드 모음입니다.

Jiyeong-Oh/DBSCAN_Implementation

DBSCAN 구현으로 Clustering하기 (Clustering with DBSCAN)

Jiyeong-Oh/DecisionTree_Implementation

결정나무 구현으로 카테고리 데이터 분류하기 (Classifying Categorical Data with Decision Tree)

Jiyeong-Oh/DSKUS-Disinformation_Campaign_Project

This proposes that societies could provide tools to detect and to identify fake and real news by using machine learning to categorize news into real and fake news. Then offer the model in the forms of end users’ tools that could foster better consumption of news by policy makers or citizens or organizations.

Jiyeong-Oh/HY_AI-Basics_Python-I

Final Assignment of course AI Basics and Python 1

Jiyeong-Oh/Jiyeong-Oh

Jiyeong-Oh/ML-with-College-Major-Salaries-Data-2020-

This project aims to acquire some insights associated with salaries of the graduates depending on several elements by building various models which predicts ‘the amount of increasement’ between initial salaries and mid-career salaries, and comparing the performance of the models.

Jiyeong-Oh/moolalahdigitalportfolio

Digital Portfolio of 2022 HRI Robotics Course. Team Moolalah.