This repository introduces the effective format to describe your EDA(Exploratory Data Analysis) on Jupyter notebook.

You need to install all necessary modules on your environment

pip install requests.txt

Or you prefer pipenv virtual environment, please copy the pipfile on this repo and run the command below.

pipenv install Pipfile

After installing the necessary modules, you can open ipynb file on your browser.

pipenv run jupyter notebook --port xxxx

Please look sample notebook or iris notebook on the repository.

• Jupyter notebook - Interactive and replicable programming environment
• Pipenv - The best tool for controling Python modules on your notebook
• Scikit learn - Machine Learning module
• keras - Deep Learning Library in python working on Tensorflow and Theano
• pandas - Libarary for data transformation etc
• numpy - use numpy when matrix type calculation is necessary

• Koichiro Kondo - a.k.a Cory - Initial work - personal github