Machine Learning

Your First Machine Learning Project in Python Step-By-Step

Last Updated on August 19, 2020

Do you want to do machine learning using Python, but you’re having trouble getting started?

In this post, you will complete your first machine learning project using Python.

In this step-by-step tutorial you will:

  1. Download and install Python SciPy and get the most useful package for machine learning in Python.
  2. Load a dataset and understand it’s structure using statistical summaries and data visualization.
  3. Create 6 machine learning models, pick the best and build confidence that the accuracy is reliable.

If you are a machine learning beginner and looking to finally get started using Python, this tutorial was designed for you.

Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python source code files for all examples.

Let’s get started!

  • Update Jan/2017: Updated to reflect changes to the scikit-learn API in version 0.18.
  • Update Mar/2017: Added links to help setup your Python environment.
  • Update Apr/2018: Added some helpful links about randomness and predicting.
  • Update Sep/2018: Added link to my own hosted version of the dataset.
  • Update Feb/2019: Updated for sklearn v0.20, also updated plots.
  • Update Oct/2019: Added links at the end to additional tutorials
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