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ING List

conda install

brew install --cask anaconda
export PATH="/opt/homebrew/anaconda3/bin:/$PATH"
source ~/.zshrc

location of study

conda install

conda install -c conda-forge xgboost -y

실습 데이터 다운로드 페이지

2장
- 타이타닉 탑승자: https://www.kaggle.com/c/titanic/data
3장
- 피마 인디언 당뇨병 예측: https://www.kaggle.com/datasets/uciml/pima-indians-diabetes-database
4장
- 사용자 행동 인식 데이터 세트: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones
- 산탄데르 고객 만족 예측: https://www.kaggle.com/competitions/santander-customer-satisfaction/data
- 신용카드 사기 검출: https://www.kaggle.com/datasets/mlg-ulb/creditcardfraud
5장
- 자전거 대여 수요 예측: https://www.kaggle.com/competitions/bike-sharing-demand/data
- 주택 가격: https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/data
6장
- 신용카드 고객 데이터 세트: https://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients
7장
- 온라인 소매점 데이터 세트: http://archive.ics.uci.edu/ml/datasets/online+retail
8장
- IMDB 영화평: https://www.kaggle.com/competitions/word2vec-nlp-tutorial/data
- Opinion Review 데이터 세트: https://archive.ics.uci.edu/ml/datasets/Opinosis+Opinion+%26frasl%3B+Review
- Mercari Price Suggestion Challenge: https://www.kaggle.com/competitions/mercari-price-suggestion-challenge/data
9장
- TMDB 5000 영화 데이터 세트: https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata
- MovieLens 데이터 세트: https://grouplens.org/datasets/movielens/latest/

reference

https://wikidocs.net/book/16798