딥러닝을 위한 library - Numpy, Pandas, MatplotLib, Seaborn

일자별 교육 내용

1일차
- Numpy
2일차
- Pandas
3일차
- Matplot
4일차
- Seaborn
- 데이터 처리 방법
5일차
- Pandas-profiling
- EDA 실습

Numpy

실습 자료
- numpy_for_deep_learning.ipynb
- numpy_quiz_for_deeplearning.ipynb
실습 내용
- 2021_05_14_실습내용.ipynb
참고 자료
- API : https://docs.scipy.org/doc/numpy/genindex.html
- 주요 요약 : http://riseshia.github.io/2017/01/30/numpy-tutorial-with-code.html
- 한글 자료 : http://taewan.kim/post/numpy_cheat_sheet/
- cheat sheet
  - https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Numpy_Python_Cheat_Sheet.pdf
  - https://www.dataquest.io/blog/numpy-cheat-sheet/

Pandas

실습 자료
- pandas_for_deep_learning.ipynb
실습 내용
- 2021_05_13_실습내용.ipynb
참고 자료
- 공식 홈의 10분 요약 : https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html
- cheat sheet :
  - https://www.datacamp.com/community/blog/python-pandas-cheat-sheet
  - in 1 sheet : http://datacamp-community-prod.s3.amazonaws.com/dbed353d-2757-4617-8206-8767ab379ab3
- Pandas Cookbook : https://pandas.pydata.org/pandas-docs/stable/user_guide/cookbook.html#
- Pandas Home API Reference : https://pandas.pydata.org/docs/reference/index.html
- Pandas Home User Guide : https://pandas.pydata.org/docs/user_guide/index.html
- Quiz
  - https://www.machinelearningplus.com/python/101-pandas-exercises-python/

Matplot

실습 자료
- matplot_for_deep_learning.ipynb
- matplot_quiz_for_deeplearning.ipynb
실습 내용
- 2021_05_17_실습내용.ipynb
참고 자료
- matplotlib 홈 : https://matplotlib.org/
  - 갤러리 : https://matplotlib.org/stable/gallery/index.html
- Matplotlib Tutorial - 파이썬으로 데이터 시각화하기 : https://wikidocs.net/book/5011
- cheat sheet : https://datacamp-community-prod.s3.amazonaws.com/28b8210c-60cc-4f13-b0b4-5b4f2ad4790b
Quiz
- https://www.w3resource.com/graphics/matplotlib/basic/index.php
- https://pynative.com/python-matplotlib-exercise/

Seaborn

실습 자료
- seaborn_for_deep_learning.ipynb
실습 내용
- 2021_05_18_실습내용.ipynb
참고자료
- Seaborn 홈 : https://seaborn.pydata.org/
  - 갤러리 : https://seaborn.pydata.org/examples/index.html
  - API : https://seaborn.pydata.org/api.html cheat sheet : https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Python_Seaborn_Cheat_Sheet.pdf

전체 평가

문제 : library_평가문제.ipynb
풀이 : library_평가문제_풀이.ipynb

데이터 처리

데이터 처리 방법 요약 : data_processing_concise.ipynb
Pandas-Profiling
- pandas-profiling 실습 : pandas_profiling.ipynb
- 샘플 리포트 : pandas_profiling_report_sample.html
실습
- flawed iris 전처리 실습 : flawed_iris_preprocessing.ipynb
- EDA 실습 - NY 자전거 : EDA_practice_NY_bike.ipynb