May 2018
Beginner to intermediate
364 pages
7h 43m
English
Overview
Hands-On Data Science with Anaconda is your guide to harnessing the full potential of Anaconda, a powerful platform for data science and machine learning. With this book, you will learn how to set up Anaconda, manage packages, explore advanced data processing techniques, and create robust machine learning models using Python, R, and Julia.
What this Book will help me do
- Master data preprocessing techniques including cleaning, sorting, and classification using Anaconda.
- Understand and utilize the conda package manager for efficient package management.
- Learn to explore and visualize data using packages and frameworks supported by Anaconda.
- Perform advanced operations like clustering, regression, and building predictive models.
- Implement distributed computing and manage environments effectively with Anaconda Cloud.
Author(s)
Yuxing Yan and co-author None Yan are seasoned data science professionals with extensive experience in utilizing cutting-edge tools like Anaconda to simplify and enhance data science workflows. With a focus on making complex concepts accessible, they offer a practical and systematic approach to mastering tools that power real-world data science projects.
Who is it for?
This book is for data science practitioners, analysts, or developers with a basic understanding of Python, R, and linear algebra who want to scale their skills and learn to utilize the Anaconda platform for their projects. If you're seeking to work more effectively within the Anaconda ecosystem or equip yourself with efficient tools for data analysis and machine learning, this book is for you.
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