Data-Science
50 posts
Category Encoders v1.2.8 Release
Announcing Category Encoders v1.2.8! This release includes important bugfixes and introduces new features like optional category names in output columns.
TechEmergence Podcast and Atlanta AI Article
Discover how predictive maintenance is revolutionizing AI in Atlanta, highlighting the city's strengths, future prospects, and unique opportunities for growth.
Data Engineering Podcast
Hear insights on the Data Engineering Podcast discussing predictive maintenance, industrial IoT data challenges, and essential data engineering best practices.
Category Encoders published in JOSS
Announcing the category_encoders Python package publication in JOSS. Discover the peer-review process and citation details.
The Problem with Industrial IoT
Industrial IoT promises much but faces challenges in adoption and implementation. Explore the hurdles of data quality, integration, security, and proving ROI.
Revisiting Python support in Apache Flink
Early 2018 look at Apache Flink's Python support. Checking compatibility, batch vs streaming capabilities, & future developments like Streaming API support.
Tendencies of Data Engineers and Scientists
Explore the relationship dynamics and challenges between data engineering and data science teams, including their approaches, collaboration, and best practices.
I Made a Model, Now What?
Practical insights from a PyData Atlanta talk on successfully deploying and maintaining machine learning models in production environments.
On taking things too seriously: holiday edition
Building a CFB bowl game prediction system with Python packages elote, keeks, & keeks-elote. Combines rating, betting strategies, and backtesting for analysis.
Elote: a python package of rating systems
Introducing Elote, a Python package implementing various rating systems like Elo and Glicko. Learn its core concepts and see how to use it for ranking.