Machine Learning with Python and Scikit

[thenaesh]

Punch: We are drowning in data and need machines to help us make sense of them all.

WIIFY: Be able to use Scikit to perform data analysis tasks quickly and easily, even as a non-specialist in machine learning.

Promise:

• What is Scikit
• Why use Scikit
• How to use Scikit

Content:

• What is Scikit

  • Key Point: Scikit is a data analysis and machine learning library with a Python API.

• Why use Scikit

  • Key Point: Simple to use
  • Support: Written in ~pseudocode~ Python, running example shows how easy it is to use

• How to use Scikit

  • Key Point: 3 step process
  • Obtain a training set.
  • Train a model.
  • Use the model to make predictions.

• Know: What is Scikit? What kind of analysis can I do with Scikit, and how?

• Believe: Scikit is extremely easy to use, with little domain knowledge of machine learning needed.

• Do: Install and give Scikit a try.

Elevator Pitch: Scikit is an easy to use library, with a Python API, for analysing data and making predictions.

Slides, with some content redacted.