https://github.com/1ambda/jupyter-playground
Jupyter Notebooks for Data Exploit ๐
https://github.com/1ambda/jupyter-playground
jupyter keras notebook tensorflow text-analysis
Last synced: about 1 year ago
JSON representation
Jupyter Notebooks for Data Exploit ๐
- Host: GitHub
- URL: https://github.com/1ambda/jupyter-playground
- Owner: 1ambda
- Created: 2020-01-05T06:53:45.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-01-27T06:54:42.000Z (over 6 years ago)
- Last Synced: 2025-04-01T09:03:24.944Z (about 1 year ago)
- Topics: jupyter, keras, notebook, tensorflow, text-analysis
- Language: Jupyter Notebook
- Homepage:
- Size: 279 KB
- Stars: 4
- Watchers: 3
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Jupyter Playground
## Notebooks
- [๊ณต๊ณต ๋ฐ์ดํฐ - ์ํํธ ๋งค๋งค ์ค๊ฑฐ๋์๋ฃ ์์ง](https://github.com/1ambda/jupyter-playground/blob/master/exploration-pubilc-data-gov/crawl-apt-trade.ipynb)
- [๊ณต๊ณต ๋ฐ์ดํฐ - ์ํํธ ์ ์์ธ ์๋ฃ ์์ง](https://github.com/1ambda/jupyter-playground/blob/master/exploration-pubilc-data-gov/crawl-apt-rent.ipynb)
- [ํต๊ณ์ฒญ, ํ์ ํ์ค์ฝ๋๊ด๋ฆฌ ์์คํ
- ๋ฒ์ ๋, ํ์ ๋ ์ฝ๋ ๋ฐ ๋งคํ](https://github.com/1ambda/jupyter-playground/blob/master/exploration-pubilc-data-gov/district-code-crawl.ipynb)
## Environment
```bash
brew install graphviz
pyenv virtualenv 3.7.2 jupyter-playground
pyenv activate jupyter-playground
pip install JPype1-py3
pip install konlpy
pip install nltk
pip install matplotlib
pip install seaborn
pip install graphviz
pip install numpy
pip install sklearn
pip install gensim
pip install pandas
pip install beautifulsoup4
# pip install xgboost
pip install xgboost
# https://www.tensorflow.org/install
pip install tensorflow # 2.1
# https://pytorch.org/get-started/locally/
pip install torch torchvision
# https://jupyter.readthedocs.io/en/latest/install.html
pip install jupyter
pip install jupyterlab
pip install tqdm
jupyter labextension install @jupyter-widgets/jupyterlab-manager
jupyter labextension install jupyter-matplotlib
jupyter lab --port=8080 --ip=127.0.0.1
```