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 […]

Last Updated on August 15, 2020 The scikit-learn library is the premiere library for machine learning in Python. The online documentation is quite good but sometimes can feel fragmented or limited by narrow examples. In this post you will discover the book Scikit-Learn Cookbook by Trent Hauck that provides a desktop reference to supplement the online documentation and help you get started with scikit-learn quickly. Kick-start your project with my new book Machine Learning Mastery With Python, including step-by-step tutorials […]

Last Updated on August 21, 2019 You must be able to load your data before you can start your machine learning project. The most common format for machine learning data is CSV files. There are a number of ways to load a CSV file in Python. In this post you will discover the different ways that you can use to load your machine learning data in Python. Kick-start your project with my new book Machine Learning Mastery With Python, including […]

Last Updated on December 11, 2019 You must understand your data in order to get the best results. In this post you will discover 7 recipes that you can use in Python to learn more about your machine learning data. 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 Mar/2018: Added alternate link to download the dataset as the original appears […]

Last Updated on December 11, 2019 You must understand your data in order to get the best results from machine learning algorithms. The fastest way to learn more about your data is to use data visualization. In this post you will discover exactly how you can visualize your machine learning data in Python using Pandas. 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 […]

Last Updated on December 11, 2019 Many machine learning algorithms make assumptions about your data. It is often a very good idea to prepare your data in such way to best expose the structure of the problem to the machine learning algorithms that you intend to use. In this post you will discover how to prepare your 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 […]