데이터 분석 포트폴리오

Hyelan Jeong
Sep 5, 2018 · 1 min read

Data Analysis Portfolio

학습

I. 지도학습 (Supervised Learning)

  1. 회귀 (Regression)
  2. 분류 (Classification)
    - Shelter Animal Outcomes : 동물 보호소의 개, 고양이 결과 분류하기
  3. 랭킹/추천 (Ranking/Recommendation)

Ⅱ. 비지도 학습 (Unsupervised Learning)

  1. 군집/토픽모델링 (Clustering/Topic Modeling)
  2. 밀도 추정 (Density Estimation)
  3. 차원 축소 (Dimensionality Reduction)

Ⅲ. 강화학습 (Reinforcement Learning)

Ⅳ. 딥러닝 (Deep Learning)

  1. 신경망 (Neural Network)

자연어 처리

I. 품사 태깅(POS Tagging)

Ⅱ. 고유명사 추출(NER)

Written by

Data Analyst

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