PinnedRyo Koyajima / 小矢島 諒inThe StartupBetween Machine Learning PoC and ProductionIntroductionFeb 1, 2021Feb 1, 2021
Ryo Koyajima / 小矢島 諒Stone Soup and Data ScienceI've worked as a Data Scientist for several years and cooperated with non-technical people. Those experiences remind me that "Stone Soup,"…Nov 20, 2022Nov 20, 2022
Ryo Koyajima / 小矢島 諒Stable Diffusion Quickstart withWSL2 and RTX3070~Generate Boss Baby-ish Profile Image ~Sep 19, 20221Sep 19, 20221
Ryo Koyajima / 小矢島 諒How to Deploy Your Jupyter Notebook As a Dashboard: A use case of visualizing stock data with AWS~ Build an automated dashboarding system with AWS SageMaker, GitHub Actions, ECR, App Runner, and Mercury ~Aug 28, 2022Aug 28, 2022
Ryo Koyajima / 小矢島 諒Python Streamlit in Practice; A Use-Case of Visualizing Stock Data~How to create an ETF portfolio simulator in Python Streamlit~Jun 27, 20221Jun 27, 20221
Ryo Koyajima / 小矢島 諒inCodeXPython Development Setup for Data Scientists in 2022There are a lot of useful tools and libraries appearing in recent years. Some don't seem to be famous among data scientists, while…Jun 18, 2022Jun 18, 2022
Ryo Koyajima / 小矢島 諒inDev Geniusdbt and BigQuery in Practice; A Use-Case of Transforming Stock DataUpdated 2022/7/22: update data pipeline as follows;Jun 2, 2022Jun 2, 2022
Ryo Koyajima / 小矢島 諒A Practical Use-Case of Cloud-Native and Secured Dashboard with Google Cloud and Python StreamlitIntroductionMay 25, 2022May 25, 2022
Ryo Koyajima / 小矢島 諒I, as a data scientist, will show you why Jupyter Notebook and Jupyter Lab are good for data…For those who want to get started with data analysis in PythonMay 20, 2021May 20, 2021
