Data Science Bookcamp 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Data Science Bookcamp

简体网页||繁体网页
Leonard Apeltsin 作者
Manning Publications
译者
2020-3-14 出版日期
900 页数
USD 59.99 价格
Paperback
丛书系列
9781617296253 图书编码

Data Science Bookcamp 在线电子书 图书标签: Python  软件开发   


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发表于2024-11-28


Data Science Bookcamp 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Data Science Bookcamp 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Data Science Bookcamp 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



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Data Science Bookcamp 在线电子书 著者简介

Leonard Apeltsin is a senior data scientist and engineering lead at Primer AI, a startup that specializes in using advanced Natural Language Processing techniques to extract insight from terabytes of unstructured text data. His PhD research focused on bioinformatics that required analyzing millions of sequenced DNA patterns to uncover genetic links in deadly diseases.


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Data Science Bookcamp 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Data Science Bookcamp 在线电子书 图书描述

Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets 10 increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real-world. As you solve each challenge, you’ll acquire and expand the data science and Python skills you’ll use as a professional data scientist. Ranging from text processing to machine learning, each project comes complete with a unique downloadable data set and a fully-explained step-by-step solution. Because these projects come from Dr. Apelstin’s vast experience, each solution highlights the most likely failure points along with practical advice for getting past unexpected pitfalls. When you wrap up these 10 awesome exercises, you’ll have a diverse relevant skill set that’s transferable to working in industry.

what's inside

10 in-depth Python exercises with full downloadable data sets

Web scraping for text and images

Organise data sets with clustering algorithms

Visualize complex multi-variable datasets

Train a decision tree machine learning algorithm

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