Machine-Learning
37 posts
HashingEncoder: Tackling Extreme Cardinality with the Hashing Trick
Explore HashingEncoder: learn how it handles extreme cardinality, its mechanism, ideal use cases, and implementation with the category_encoders library.
BinaryEncoder: The Space-Efficient Alternative to One-Hot Encoding
Explore the BinaryEncoder from category_encoders: a space-efficient alternative to one-hot encoding. Learn how it works, when to use it, and see implementation.
OrdinalEncoder: When Order Matters in Categorical Data
Explore OrdinalEncoder for categorical data where order matters. Learn how it works, its benefits, and implementation using the category_encoders library.
OneHotEncoder: The Workhorse of Categorical Encoding
A comprehensive guide to OneHotEncoder in category_encoders, exploring its core functionality, advantages, and practical limitations in machine learning.
Data Science Things Roundup #13
Data Science Roundup #13: Exploring IBM Granite for enterprise AI, Mistral AI's Le Chat for Europe, and Open Deep Research for DIY AI tools.
Data Science Things Roundup #12
Data Science Things Roundup #11: Discover hidden gems in data science, featuring ModernBERT, ReaderLM v2, and Cohere''s Rerank 3.5. Catch up on what''s new!
From Weekend Hack to Core Tool: The category_encoders Journey
Explore category_encoders' journey from a weekend Python experiment to a widely used data science library, now part of scikit-learn-contrib.
Investment Review: Seer.ai
A review of my angel investment in Seer.ai, exploring how they align with my investment thesis and their unique value proposition in AI-powered analytics.
I Made a Model, Now What?
Practical insights from a PyData Atlanta talk on successfully deploying and maintaining machine learning models in production environments.
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.