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Name		Name	Last commit message	Last commit date
.ipynb_checkpoints		.ipynb_checkpoints
2.3.1 Mongo Practice1		2.3.1 Mongo Practice1
data		data
.gitignore		.gitignore
1.0 python-언어의특성.ipynb		1.0 python-언어의특성.ipynb
1.1 python정리- StringFormat, MagicCommands,Mutable, DataTypes, collections.ipynb		1.1 python정리- StringFormat, MagicCommands,Mutable, DataTypes, collections.ipynb
1.2 python정리2- 내장함수, 함수인자, 패킹,언패킹, scope,main, Generator,lambda .ipynb		1.2 python정리2- 내장함수, 함수인자, 패킹,언패킹, scope,main, Generator,lambda .ipynb
1.2.1 python Functional Thinking.ipynb		1.2.1 python Functional Thinking.ipynb
1.2.2 python Iterable VS Iterator VS Generator.ipynb		1.2.2 python Iterable VS Iterator VS Generator.ipynb
1.3 python 정리3- 클래스, 상속, polymorphism, dunder.ipynb		1.3 python 정리3- 클래스, 상속, polymorphism, dunder.ipynb
1.3.1 decorator.ipynb		1.3.1 decorator.ipynb
1.4 python 정리4- 파일입출력, os module, 정규표현식.ipynb		1.4 python 정리4- 파일입출력, os module, 정규표현식.ipynb
2.1 SQLite.ipynb		2.1 SQLite.ipynb
2.2 SQL Alchemy.ipynb		2.2 SQL Alchemy.ipynb
2.3 MongoDB.ipynb		2.3 MongoDB.ipynb
2.3.1 pymongo.ipynb		2.3.1 pymongo.ipynb
3.1 HTML, CSS.ipynb		3.1 HTML, CSS.ipynb
3.1.1 HTML,CSS 예제.ipynb		3.1.1 HTML,CSS 예제.ipynb
3.2 JSON, XML.ipynb		3.2 JSON, XML.ipynb
3.2.1 JSON, XML 실습.ipynb		3.2.1 JSON, XML 실습.ipynb
4.0 파이썬 문자열 인코딩.ipynb		4.0 파이썬 문자열 인코딩.ipynb
4.1 Scraping, Crawling.ipynb		4.1 Scraping, Crawling.ipynb
4.1.0 WEB; request.ipynb		4.1.0 WEB; request.ipynb
4.1.1 BeautifulSoup 실습.ipynb		4.1.1 BeautifulSoup 실습.ipynb
4.1.2 뽐뿌 컨텐츠 가져오기.ipynb		4.1.2 뽐뿌 컨텐츠 가져오기.ipynb
4.2 동적 웹 scraping.ipynb		4.2 동적 웹 scraping.ipynb
4.2.1 네이버뉴스 댓글bot 만들기.ipynb		4.2.1 네이버뉴스 댓글bot 만들기.ipynb
4.3 자연어분석 기초.ipynb		4.3 자연어분석 기초.ipynb
4.4 정보검색.ipynb		4.4 정보검색.ipynb
5.1 Flask.ipynb		5.1 Flask.ipynb
6.1 pandas.ipynb		6.1 pandas.ipynb
6.1.1 Date and Times.ipynb		6.1.1 Date and Times.ipynb
6.2 Visualization.ipynb		6.2 Visualization.ipynb
6.3 Numpy.ipynb		6.3 Numpy.ipynb
6.4 Scikit-learn.ipynb		6.4 Scikit-learn.ipynb
6.5 statsmodel, mlxtend.ipynb		6.5 statsmodel, mlxtend.ipynb
6.5.1 Linear Regression with SM.ipynb		6.5.1 Linear Regression with SM.ipynb
6.5.2 Association Rules.ipynb		6.5.2 Association Rules.ipynb
6.5.3 StackingClassifier.ipynb		6.5.3 StackingClassifier.ipynb
7.1 PySpark.ipynb		7.1 PySpark.ipynb
8.0 recommendation.pdf		8.0 recommendation.pdf
8.1 추천시스템.ipynb		8.1 추천시스템.ipynb
9.1 Deep Learning- 퍼셉트론, 뉴럴네트워크, 활성 함수, 순전파.ipynb		9.1 Deep Learning- 퍼셉트론, 뉴럴네트워크, 활성 함수, 순전파.ipynb
9.2 Deep Learning-신경망학습, 역전파.ipynb		9.2 Deep Learning-신경망학습, 역전파.ipynb
9.3 Deep Learning- Optimization, InitialWeights, BatchNormalization, Regularization.ipynb		9.3 Deep Learning- Optimization, InitialWeights, BatchNormalization, Regularization.ipynb
9.3.1 pytorch tutorial.ipynb		9.3.1 pytorch tutorial.ipynb
9.3.2 pytorch optimization.ipynb		9.3.2 pytorch optimization.ipynb
9.3.3 tensorflow튜토리얼1_BasicUsage.ipynb		9.3.3 tensorflow튜토리얼1_BasicUsage.ipynb
9.3.4 tensorflow튜토리얼2_주요함수정리.ipynb		9.3.4 tensorflow튜토리얼2_주요함수정리.ipynb
9.4 CNN.ipynb		9.4 CNN.ipynb
9.5 RNN.ipynb		9.5 RNN.ipynb
9.5.1 Language Modeling.ipynb		9.5.1 Language Modeling.ipynb
9.5.2 LSTM.ipynb		9.5.2 LSTM.ipynb
9.6 GAN.ipynb		9.6 GAN.ipynb
9.6.1 Linear_GAN.ipynb		9.6.1 Linear_GAN.ipynb
9.6.2 Conv_GAN.ipynb		9.6.2 Conv_GAN.ipynb
README.md		README.md
chromedriver.exe		chromedriver.exe
geopandas.ipynb		geopandas.ipynb

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