HF RL Explorer

Task: PCA for Categorical Features using One-Hot Encoding

Task: PCA for Categorical Features using One-Hot Encoding: a task in Terminal-Lego-15k (Harbor dataset). Demonstrate how to apply Principal Component Analysis (PCA) to categorical features by first converting them using one-hot encoding. Create a Python script that takes a dataset with categorical…

Part of PrimeIntellect/Terminal-Lego-15k.