PinnedInThe StartupbyRyo Koyajima / 小矢島 諒·Feb 1, 2021Between Machine Learning PoC and ProductionIntroduction
Ryo Koyajima / 小矢島 諒·Nov 20, 2022Stone 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,"…
Ryo Koyajima / 小矢島 諒·Sep 19, 2022Stable Diffusion Quickstart withWSL2 and RTX3070~Generate Boss Baby-ish Profile Image ~A response icon1A response icon1
Ryo Koyajima / 小矢島 諒·Aug 28, 2022How 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 ~
Ryo Koyajima / 小矢島 諒·Jun 27, 2022Python Streamlit in Practice; A Use-Case of Visualizing Stock Data~How to create an ETF portfolio simulator in Python Streamlit~A response icon1A response icon1
InCodeXbyRyo Koyajima / 小矢島 諒·Jun 18, 2022Python 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…
InDev GeniusbyRyo Koyajima / 小矢島 諒·Jun 2, 2022dbt and BigQuery in Practice; A Use-Case of Transforming Stock DataUpdated 2022/7/22: update data pipeline as follows;
Ryo Koyajima / 小矢島 諒·May 25, 2022A Practical Use-Case of Cloud-Native and Secured Dashboard with Google Cloud and Python StreamlitIntroduction
Ryo Koyajima / 小矢島 諒·May 20, 2021I, 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 Python