This repository will be used for courses 01KA438 and 0ADM126 offered in 2023.
📁 Organized: The project structure is refereed to datascience-template.
🚀 Prepared: Major libraries are prepared in environment.yml.
Here is the notebook link to provide the quick access to your analysis. You can create the conda environment by Right click Build Conda Environment or conda env create -f environment.yml in Studio Lab.
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├── README.md # describe this project
├── notebooks # store notebooks
│ ├── day-2-1.ipynb
│ ├── day-2-2.ipynb
│ ├── day-3.ipynb
│ ├── day-4.ipynb
│ ├── day-5.ipynb
│ ├── images
│ └── miscs
│ └── covid-19.ipynb
├── notebooks-samples # stores notebook execution results in HTML
│ ├── day-2-1.html
│ ├── day-2-2.html
│ ├── day-3.html
│ ├── day-4.html
│ ├── day-5.html
│ ├── images
│ └── miscs
│ └── covid-19.html
├── scripts # store source code used in notebook
│ ├── install_cabocha.sh
│ └── install_mecab.sh
├── slides # documentation for this lecture materials (To be uploaded after the lecture.)
│ └── practice-1.pdf
│ └── practice-2.pdf
│ └── practice-3.pdf
│ └── practice-4.pdf
│ └── practice-5.pdf
└── miscs # store miscellaneous resources
├── coding-rule.txt.zip
├── practice-3_sample.xlsx
├── practice-4_sample.xlsx
└── z1_edit_words3.textClipping