JessyMin

JessyMin's Stars

• bab2min/kiwipiepy

  Python API for Kiwi

  Language:Python27327

• lovit/customized_konlpy

  Customized KoNLPy - Korean Natural Language Processing Toolkit KoNLPy wrapping code

  Language:Python12624

• open-korean-text/open-korean-text

  Open Korean Text Processor - An Open-source Korean Text Processor

  Language:Scala60897

• wormwlrm/bamboo-forest

  🎋 대나무숲 슬랙 앱 - Echo your message as anonymous on Slack!

  Language:TypeScript11827

• FinanceData/FinanceDataReader

  Financial data reader

  Language:Jupyter Notebook1.1k359

• Team-Neighborhood/I-want-to-study-Data-Science

  데이터 사이언스를 공부하고 싶은 분들을 위한 글

  1.7k484

• kakao-arena/shopping-classification

  쇼핑몰 상품 카테고리 분류 대회의 baseline

  Language:Python14063

• hyungyunlim/hyungyunlim.github.io

  Minimal Jekyll theme for storytellers

  Language:SCSS1

• jamiekang/jamiekang.github.io

  A content-first, sliding sidebar theme for Jekyll.

  Language:CSS12

• PrathamNawal/Instacart-Market-Based-Analysis

  Instacart’s data science team plays a big part in providing this delightful shopping experience. Currently they use transactional data to develop models that predict which products a user will buy again, try for the first time, or add to their cart next during a session. In this competition, Instacart is challenging the Kaggle community to use this anonymized data on customer orders over time to predict which previously purchased products will be in a user’s next order.

  Language:R3

• DataScienceSpecialization/courses

  Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

  Language:HTML4k31.4k