title: Mining massive data sets in Python
body: <p>I have a dataset of over 5GBs. Is there a way I can train my model with this data chunk by chunk in a Stochastic Gradient Descent kind of way? In other words, break the set in 5 chunks of 1 GB each, and then train parameters.</p>
  
  <p>I want to do this in a Python environment. </p>