GoCareerGoCareer prep studio
LoginSign up
← All tutorials

GoCareerGo Tutorials

Machine Learning Tutorial

Supervised learning, classification, neural networks and core ML algorithms.

Handling Class Imbalance

Oversampling, undersampling and SMOTE.

Quick-reference summary — a full handcrafted walkthrough is coming soon for this topic.

Oversampling, undersampling and SMOTE.

  • Category: Classification — part of the Machine Learning Tutorial on GoCareerGo
  • Read the short summary above, then check the linked docs for full syntax/behaviour
  • Interview tip: be ready to explain "Handling Class Imbalance" in one sentence, then back it up with a tiny example
# Handling Class Imbalance — minimal example
# See scikit-learn / the linked framework docs for the exact API.
Tip

Quick recall: "Handling Class Imbalance" — oversampling, undersampling and SMOTE.