湖北省孝感市八校联考2017—2018学年高二上学期期中考试语文——解析.pdf
2021-12-26 15:01:33 300KB
江西省南康中学、于都中学2017—2018学年高二上学期第四次联考语——解析版.pdf
2021-12-26 15:01:32 300KB
福建省南平市2017—2018学年高二下学期期末质量检测英语——解析.pdf
2021-12-26 15:01:32 294KB
河南省襄城高中2017—2018学年高二9月月考语文——解析.pdf
2021-12-26 15:01:31 294KB
福建省晋江市平山中学2017—2018学年高一下学期期末考试语文——解析.pdf
2021-12-26 15:01:31 294KB
经本人测试,可以使用,且测试工程可以很OK的!在petelinux里也没有问题!
2021-12-26 10:32:14 735B vivado_2017
1
Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications By 作者: Ashish Kumar – Joseph Babcock ISBN-10 书号: 1788992369 ISBN-13 书号: 9781788992367 Release 出版日期: 2017-12-27 pages 页数: (660 ) $99.99 Python: Advanced Predictive Analytics: Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Gain practical insights by exploiting data in your business to build advanced predictive modeling applications Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not in its raw form; it needs to be processed and modeled, and Python is one of the most robust tools out there to do so. It has an array of packages for predictive modeling and a suite of IDEs to choose from. Using the Python programming language, analysts can use these sophisticated methods to build scalable analytic applications. This book is your guide to getting started with predictive analytics using Python. You’ll balance both statistical and mathematical concepts, and implement them in Python using libraries such as pandas, scikit-learn, and NumPy. Through case studies and code examples using popular open-source Python libraries, this book illustrates the complete development process for analytic applications. Covering a wide range of algorithms for classification, regression, clustering, as well as cutting-edge techniques such as deep learning, this book illustrates explains how these methods work. You will learn to choose the right approach for your problem and how to develop engaging visualizations to bring to life the insights of predictive modeling. Finally, you will learn best practices in predictive modeling, as well as the different applications of predictive modeling in the modern world. The course provides you with highly practical content from the following Packt books: Learning Predictive Analytics with Python Mastering Predictive Analytics with Python What You Will Learn Understand the statistical and mathematical concepts behind predictive analytics algorithms and implement them using Python libraries Get to know various methods for importing, cleaning, sub-setting, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and NumPy Master the use of Python notebooks for exploratory data analysis and rapid prototyping Get to grips with applying regression, classification, clustering, and deep learning algorithms Discover advanced methods to analyze structured and unstructured data Visualize the performance of models and the insights they produce Ensure the robustness of your analytic applications by mastering the best practices of predictive analysis
2021-12-25 22:49:17 20.59MB python 预测
1
仅供各位交流学习使用,严禁用作商业用途,严禁发生抄袭等学术不端行为!
2021-12-25 20:00:57 80KB 北京邮电大学 bupt 计算机导论 计导
1
2012,2015,2017年试卷答案及部分重点总结
2021-12-25 17:03:21 72.42MB 软件无线电技术