|
[ FreeCourseWeb.com ] Machine Learning in Python®: Essential Techniques for Predictive Analysis (True PDF)
Download More Latest Stuff Visit -->> https://FreeCourseWeb.com
English | True PDF | 2015 | 343 Pages | ISBN : 1118961749 | 22.30 MB
Learn a simpler and more effective way to analyze data and predict outcomes with Python
Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code.
The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions.
Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book nstrates how machine learning can be implemented using the more widely used and accessible Python programming language.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
Download More Latest Stuff Visit -->> https://FreeCourseWeb.com
Get Latest Apps Tips and Tricks -->> https://AppWikia.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
|
|
udp://tracker.coppersurfer.tk:6969/announce udp://tracker.torrent.eu.org:451/announce udp://thetracker.org:80/announce udp://retracker.lanta-net.ru:2710/announce udp://denis.stalker.upeer.me:6969/announce udp://explodie.org:6969/announce udp://tracker.filemail.com:6969/announce udp://tracker.iamhansen.xyz:2000/announce udp://retracker.netbynet.ru:2710/announce udp://tracker.nyaa.uk:6969/announce udp://torrentclub.tech:6969/announce udp://tracker.supertracker.net:1337/announce udp://open.demonii.si:1337/announce udp://tracker.moeking.me:6969/announce udp://tracker.filepit.to:6969/announce |
