title: Imbalanced dataset: Sklearn and Over | Under | SMOTE sampling?
body: <p>Is it possible in sklearn to do Over | Under | SMOTE sampling?</p>
  
  <p>If not, is an equivalent technique to apply similar code to <code>class_weight='balanced</code> in your classifier?</p>
  
  <p>I've checked the sklearn documentation and I can't seem to find anything on these types of sampling techniques. Any advice would be great.</p>