2. Tutorials: From the bottom up with scikit-learn
New to Scientific Python?
For those that are still new to the scientific Python ecosystem,
we highly recommend the Python Scientific Lecture
Notes. This will help you
find your footing a bit and will definitely improve your
In this section, we introduce the machine learning
vocabulary that we use through-out scikit-learn and give a
simple learning example.
This tutorial covers some of the models and tools available
to do data-processing with Scikit Learn and how to learn from
Machine Learning Cheat Sheet (for scikit-learn)
This flowchart is useful for newcomers regarding how to go about
solving problems using scikit-learn. It provides a rough guide on
how to approach problems and which estimators to try out on your
data. Click the image below to begin..
There are several online tutorials available which are geared toward
specific subject areas:
Videos with tutorials can also be found in the Videos section.
The code-examples in the above tutorials are written in a
python-console format. If you wish to easily execute these examples
in iPython, use:
in the iPython-console. You can then simply copy and paste the examples
directly into iPython without having to worry about removing the >>>