Attend: Machine Learning with Python by Noureddin Sadawi Watch: Probability and Statistics for Machine Learning by Jon KrohnSchedule The time frames are only estimates and may vary according to how the class is
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems, from loading data...
Published by O'Reilly Media, Inc. Beginner to intermediate Extract richer information from your data using Python and machine learningWhat you’ll learnIs this live event for you?Schedule It is almost trite to say that businesses, regardless of size, are awash in data. ...
Machine Learning Notebooks, 3rd edition This project aims at teaching you the fundamentals of Machine Learning in python. It contains the example code and solutions to the exercises in the third edition of my O'Reilly bookHands-on Machine Learning with Scikit-Learn, Keras and TensorFlow (3rd edi...
Featuring Graphs And Highlighted Code Throughout, Thoughtful Machine Learning With Python Guides You Through The Process Of Writing Problem-solving Code, And In The Process Teaches You How To Approach Problems Through Scientific Deduction And Clever Algorithms.Matthew Kirk...
We applied machine learning classification algorithms and compared and evaluated them to enable the selection of models with good performance. The methodology of this study is illustrated in Figure 1. First, the ship's berthing velocity and risk range were defined and measured. Data was collected ...
Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning...
Rescaling is a common preprocessing task in machine learning. Many of the algorithms described later in this book will assume all features are on the same scale, typically 0 to 1 or –1 to 1. There are a number of rescaling techniques, but one of the simplest is calledmin-max scaling. ...
You know the basics of data science and working with Python and Jupyter, but want some real-world experience with these tools You want to build a portfolio of high-quality data science projects You want to take your full-stack data science skills to the next level by learning ext...
Chapter 1. Vectors, Matrices, and Arrays 1.0 Introduction NumPy is the foundation of the Python machine learning stack. NumPy allows for efficient operations on the data structures often used in … - Selection from Machine Learning with Python Cookbook