Data Engineering With Python provides a solid overview of pipelining and database connections for those tasked with processing both batch and stream data flows. Not only for the data miners, this book will be useful as well in a CI/CD environment using Kafka and Spark. It’s very readable ...
Python和AWS Lambda LiveLessons的数据工程向用户展示了如何用数据科学家用来构建机器学习模型的相同语言构建完整而强大的数据工程管道。通过在Python中采用无服务器数据工程,您可以在AWS背板的背面构建高度可扩展的分布式系统。用户学会了在无服务器的新范式中思考,这意味着接受事件和事件驱动的程序,以取代昂贵而复杂的服务...
eBook $35.98 $39.99 ADD TO CART Machine Learning Engineering with Python Aug 2023 462 pages 4.6 (38) eBook $35.98 $39.99 ADD TO CART About the author Cuantum Technologies LLC Cuantum Technologies is a leading innovator in the realm of software development and education, with a special ...
- Implement Webscraping, and use APIs to extract data in Python - Play the role of a Data Engineer working on a real project to extract, transform and load data using Jupyter notebook and Watson Studio Syllabus WEEK 1: Python Project for Data Engineering IBM Data Engineering Professional Certi...
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For setup instructions, refer to:Create a Lakehouse with AdventureWorksLH Step 1: Install the Fabric SDK To evaluate agents programmatically, first install thefabric-data-agent-sdkin your notebook: %pip install -U fabric-data-agent-sdk
Feature Engineering Vincent Warmerdam: Untitled12.ipynb - Using df.pipe() Vincent Warmerdam: Winning with Simple, even Linear, Models sklearn - Pipeline, examples. pdpipe - Pipelines for DataFrames. scikit-lego - Custom transformers for pipelines. categorical-encoding - Categorical encoding of variab...
- Develop a comprehensive data preparation workflow for machine learning, including data rescaling and feature engineering Syllabus Introduction to Python for Data Science In the first module of the Python for Data Science course, learners will be introduced to the fundamental concepts of Python programm...
Chapter 4. Representing Data and Engineering Features So far, we’ve assumed that our data comes in as a two-dimensional array of floating-point numbers, where each column is a continuous feature … - Selection from Introduction to Machine Learning with
I personally found a tremendous amount of overlap with the beginning of Dataquest’s online Data Science in Python and Wes McKinney’s book。 It was a really helpful experience to read about a topic in the book and then learn how to implement it with the course。While I think Wes does a...