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Ryo Koyajima / 小矢島 諒
Ryo Koyajima / 小矢島 諒

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Published in The Startup

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Between Machine Learning PoC and Production

The Japanese version is here: (https://qiita.com/koyaaarr/items/259ad4f0d574497c5b08) Introduction Machine learning Proof of Concept (PoC) is very popular these days due to the recent AI boom. And afterward, if (very fortunately) you get good achievement in the PoC, you may want to put the PoC system into production. …

Machine Learning

17 min read

Between Machine Learning PoC and Production
Between Machine Learning PoC and Production

6 days ago

Python Streamlit in Practice; A Use-Case of Visualizing Stock Data

~How to create an ETF portfolio simulator in Python Streamlit~ Streamlit is becoming one of the great options for creating demos only using Python. I will explain how to create an effective dashboard using Streamlit and deploy Streamlit Cloud with actual stock data. Quick Demo Here is my demo of the ETF…

Python

6 min read

Python Streamlit in Practice; A Use-Case of Visualizing Stock Data
Python Streamlit in Practice; A Use-Case of Visualizing Stock Data

Published in CodeX

·Jun 18

Python Development Setup for Data Scientists in 2022

There are a lot of useful tools and libraries appearing in recent years. Some don't seem to be famous among data scientists, while engineers often use them. Thus, I want to introduce some tools to data scientists new to Python or software development. …

Python

6 min read

Python Development Setup for Data Scientists in 2022
Python Development Setup for Data Scientists in 2022

Jun 2

dbt and BigQuery in Practice; A Use-Case of Transforming Stock Data

Updated 2022/6/11: I pushed my source code to GitHub: https://github.com/koyaaarr/invest-analytics-model Introduction This article explains how to use dbt and BigQuery to transform actual data. You can easily create a data lake, data warehouse, and data mart using dbt. It also enables us to test our data quality. I will combine BigQuery…

Dbt

5 min read

dbt and BigQuery in Practice; A Use-Case of Transforming Stock Data
dbt and BigQuery in Practice; A Use-Case of Transforming Stock Data

May 25

A Practical Use-Case of Cloud-Native and Secured Dashboard with Google Cloud and Python Streamlit

Introduction With rising cloud services and data scientist-friendly visualization tools, building a dashboard is getting easier and faster. However, it’s also becoming more and more complicated to understand or utilize them. This article will show the use-case of combining these technologies by building a secured dashboard managing my investment portfolio. This…

Google Cloud Platform

5 min read

A Practical Use-Case of Cloud-Native and Secured Dashboard with Google Cloud and Python Streamlit
A Practical Use-Case of Cloud-Native and Secured Dashboard with Google Cloud and Python Streamlit

May 20, 2021

I, as a data scientist, will show you why Jupyter Notebook and Jupyter Lab are good for data analysis

For those who want to get started with data analysis in Python This article will introduce Jupyter Notebook and Jupyter Lab (collectively called Jupyter), very reliable tools for data analysis in Python. Jupyter is already in common use in the data science world, but I would like to show its benefits with a demo. Assumptions In this article, I analyze data under the…

Jupyter Notebook

8 min read

I, as a data scientist, will show you why Jupyter Notebook and Jupyter Lab are good for data…
I, as a data scientist, will show you why Jupyter Notebook and Jupyter Lab are good for data…
Ryo Koyajima / 小矢島 諒

Ryo Koyajima / 小矢島 諒

Data Scientist in Japan. https://www.linkedin.com/in/ryo-koyajima/

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