Data Processing with Optimus
Data Processing with Optimus helps you learn how to load, clean, and transform data easily with Optimus. This book is a step-by-step guide for preparing data to perform key data science tasks such as machine learning, analytics, feature engineering, and reporting to help you to build end-to-end real-world applications with ease.
Offered by
Difficulty Level
Intermediate
Completion Time
10h
Language
English
About Book
Who Is This Book For?
This book is for Python developers who want to explore, transform, and prepare big data for machine learning, analytics, and reporting using Optimus, a unified API to work with Pandas, Dask, cuDF, Dask-cuDF, Vaex, and Spark. Although not necessary, beginner-level knowledge of Python will be helpful. Basic knowledge of the CLI is required to install Optimus and its requirements. For using GPU technologies, you'll need an NVIDIA graphics card compatible with NVIDIA's RAPIDS library, which is compatible with Windows 10 and Linux.
Data Processing with Optimus
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 10h total length
Hi Optimus!
Data Loading, Saving, and File Formats
Data Wrangling
Combining, Reshaping, and Aggregating Data
Data Visualization and Profiling
String Clustering
Feature Engineering
Machine Learning
Natural Language Processing
Hacking Optimus
Optimus as a Web Service
Related Resources
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