We focus on using Python and the scikit-learn library, and work through all the steps to create a successful machine learning application. The meth‐ods we introduce will be helpful for …
[ML] Introduction to Machine Learning with Python (2017).pdf
Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group. - MLResources/books/ [ML] Introduction to Machine Learning with …
We will present in this chapter of our Python Machine Learning Tutorial four important metrics. These metrics are used to evaluate the results of classifications.
For this book, all of the examples are tested using Python 3 and the Scikit-learn library, a Python library that implements the various types of machine learning algorithms, such as …
Welcome to the second edition of Machine Learning Engineering with Python, a book that aims to introduce you to the exciting world of making machine learning (ML) systems production-ready.
Decision tree for predicting whether to bring an umbrella or not based on a record of 100 days. In a two-dimensional space, the dataset shown on the left is not separable. Mapping the dataset …
"Introduction to Machine Learning with Python" by Andreas C. Müller and Sarah Guido is your essential guide to harnessing the power of machine learning, designed for readers at any …