Encoding Categorical Variables: A Deep Dive into Target Encoding
Data comes in different shapes and forms. One of those shapes and forms is known as categorical data.- 28787Murphy ≡ DeepGuide
3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide
How should we choose between label, one-hot, and target encoding?- 20340Murphy ≡ DeepGuide
No Label Left Behind: Alternative Encodings for Hierarchical Categoricals
Seeking a system that works for current and future codes- 28441Murphy ≡ DeepGuide
Understanding K-Fold Target Encoding to Handle High Cardinality
Balancing complexity and performance: An in-depth look at K-fold target encoding- 26779Murphy ≡ DeepGuide
Decoding One-Hot Encoding: A Beginner's Guide to Categorical Data
Learning to transform categorical data into a format that a machine learning model can understand- 24625Murphy ≡ DeepGuide
Apollo and Design Choices of Video Large Multimodal Models (LMMs)
Let's Explore Major Design Choices from Meta's Apollo Paper- 29111Murphy ≡ DeepGuide
We look at an implementation of the HyperLogLog cardinality estimati
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Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag