Tag: classification

The traditional machine learning pipeline has, for over a decade, followed a rigid, well-defined sequence: collect massive datasets, painstakingly clean raw text, perform feature engineering—often using techniques like TF-IDF or word embeddings—and finally, train a specialized classifier such as a Logistic Regression or Random Forest model. For data scientists, this was the "standard drill." It […]