◇ Codestats Project ◇

• Section 1 - Game Analysis

• Section 2 - Credit Risk Analysis

• Section 3 - Deploying Web Services with Flask

• Section 4 - Predict Recommendations through Product Review Analysis

◇ Elice ◇

• 반도체 공정 데이터를 활용한 공정 이상 예측

• 유가 데이터 활용 주유소 분석

• 자동차 리콜 데이터 분석

• 금융거래고객 신용위험예측

• 코로나 데이터 분석

◇ AIFFEL Project ◇

• EX01 - Rock Scissor Paper

• EX02 - Breast Cancer / Digits / Wine

• EX03 - Make a camera sticker app

• EX04 - Lyrics make AI

• EX05 - Finding someone who looks like me

• EX06 - Kaggle competition.

• EX07 - Analysis of movie review text emotions

• EX08 - Let's make a portrait.

• EX09 - Find another artist

• EX10 - Making a news summary robot

• EX11 - Handling medical image data

• EX12 - SBR

• EX13 - DCGAN

• EX14 - ARIMA Model

• EX15 - Transformer

• EX16 - SRCNN, SRGAN

• EX17 - Bert

• EX18 - OCR

• EX19 - cGAN & Pix2Pix

◇ Going Deeper ◇ - CV focus

• GD01 - Backbone network structure

• GD02 - Data Augmentation

• GD03 - Class Activation Map

• GD04 - Object Detection

• GD05 - Segmentation

• GD06 - Overview of OCR technology

• GD07 -

• GD08