Last Updated on August 15, 2020 If you get serious with data analysis and machine learning in python then you will make good use of IPython notebooks. In this post we will review some takeaway points made by Fernando Perez, the creator of IPython in a keynote presentation at SciPy 2013. The title of the talk was IPython: from the shell to a book with a single tool; the method behind the madness. Kick-start your project with my new book Machine […]

Last Updated on August 21, 2019 You have to get your hands dirty. You can read all of the blog posts and watch all the videos in the world, but you’re not actually going to start really get machine learning until you start practicing. The scikit-learn Python library is very easy to get up and running. Nevertheless I see a lot of hesitation from beginners looking get started. In this blog post I want to give a few very simple […]

Last Updated on August 15, 2020 If you are using the Python stack for studying and applying machine learning, then the library that you will want to use for data analysis and data manipulation is Pandas. This post gives you a quick introduction to the Pandas library and point you in the right direction for getting started. 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 […]

Last Updated on January 28, 2020 Before you can select and prepare your data for modeling, you need to understand what you’ve got to start with. If you’re a using the Python stack for machine learning, a library that you can use to better understand your data is Pandas. In this post you will discover some quick and dirty recipes for Pandas to improve the understanding of your data in terms of it’s structure, distribution and relationships. Kick-start your project […]

Last Updated on December 13, 2019 Before you can build machine learning models, you need to load your data into memory. In this post you will discover how to load data for machine learning in Python using scikit-learn. 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 March/2018: Added alternate link to download the dataset as the original appears to have […]

Last Updated on June 4, 2020 Not all data attributes are created equal. More is not always better when it comes to attributes or columns in your dataset. In this post you will discover how to select attributes in your data before creating a machine learning model using the scikit-learn library. 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: For […]

Last Updated on August 21, 2019 Machine learning models are parameterized so that their behavior can be tuned for a given problem. Models can have many parameters and finding the best combination of parameters can be treated as a search problem. In this post, you will discover how to tune the parameters of machine learning algorithms in Python using the scikit-learn library. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials and the Python […]

Last Updated on August 21, 2019 The Python ecosystem is growing and may become the dominant platform for machine learning. The primarily rationale for adopting Python for machine learning is because it is a general purpose programming language that you can use both for research and development and in production. In this post you will discover the Python ecosystem for machine learning. 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 […]

Last Updated on August 21, 2019 You do not need to be a Python developer to get started using the Python ecosystem for machine learning. As a developer who already knows how to program in one or more programming languages, you are able to pick up a new language like Python very quickly. You just need to know a few properties of the language to transfer what you already know to the new language. In this post, you will get a crash […]

Last Updated on August 21, 2019 The scikit-learn library is one of the most popular platforms for everyday machine learning and data science. The reason is because it is built upon Python, a fully featured programming language. But how do you get started with machine learning with scikit-learn. Kevin Markham is a data science trainer who created a series of 9 videos that show you exactly how to get started in machine learning with scikit-learn. In this post you will […]