Python Machine Learning By Example Packt PdfThis Python course will get you up and running with Python very quickly saving you time spent googling for video tutorials, exercises and examples. The course is ideal for those who haven't programmed before, but it also works for experienced programmers who want to learn Python as long as they don't get offended by a bit of extra explanations of programming concepts. You will start from scratch by learning all Python fundamentals and slowly progressing into more advanced Python third-party libraries and by the end of the course you will know how to write Python programs. You will actually build your a real Python program that has a graphical user interface GUI built with Python. As a bonus you will also learn how to convert that program into an executable that runs both on Windows and Mac as a standalone program so that you can give your program to anyone. The course also guides you on how to go about building even more advanced programs with Python. You will learn how to use Python third-party libraries for building programs in a wide range of application areas.
Building Machine Learning Systems with Python - Second Edition
September 20th, Machine learning is eating the software world, and now deep learning is extending machine learning. This highly acclaimed book has been modernized to include the popular TensorFlow deep learning library, essential coverage of the Keras neural network library, and the latest scikit-learn machine learning library updates. The result is a new edition of this classic book at the cutting edge of deep learning and machine learning. This book will teach you the fundamentals of machine learning and how to utilize these in real-world applications using Python. Step-by-step, you will expand your skill set with the best practices for transforming raw data into useful information, developing learning algorithms efficiently, and evaluating results. What you can expect are pages rich in useful material just about everything you need to know to get started with machine learning.
Building Machine Learning. Systems with Python. Second Edition. Get more from your data through creating practical machine learning systems with Python.
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In this article we review last week's Packt free ebook code challenge. We really scratched our own itch building both a notification service and an ebook download manager. First of all we were a tad disappointed not being able to automate the whole thing. We are not the only ones hitting this wall. We wrote a script to get a daily html email of the free html book, the amount of hh:mm before it expires, and adding Pybonacci's affiliation link to sponsor Python Spain. We use BeautifulSoup for html parsing.