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Key benefits

-Use Anaconda to find solutions for clustering, classification, and linear regression

-Analyze your data efficiently with the most powerful data science stack

-Use the Anaconda cloud to store, share, and discover projects and libraries

Description

Anaconda is an open source platform that brings together the best tools for data science professionals with more than 100 popular packages supporting Python, Scala, and R languages. Hands-On Data Science with Anaconda gets you started with Anaconda and demonstrates how you can use it to perform data science operations in the real world. The book begins with setting up the environment for Anaconda platform in order to make it accessible for tools and frameworks such as Jupyter, pandas, matplotlib, Python, R, Julia, and more. You’ll walk through package manager Conda, through which you can automatically manage all packages including cross-language dependencies, and work across Linux, macOS, and Windows. You’ll explore all the essentials of data science and linear algebra to perform data science tasks using packages such as SciPy, contrastive, scikit-learn, Rattle, and Rmixmod. Once you’re accustomed to all this, you’ll start with operations in data science such as cleaning, sorting, and data classification. You’ll move on to learning how to perform tasks such as clustering, regression, prediction, and building machine learning models and optimizing them. In addition to this, you’ll learn how to visualize data using the packages available for Julia, Python, and R.

Who is this book for?

Hands-On Data Science with Anaconda is for you if you are a developer who is looking for the best tools in the market to perform data science. It’s also ideal for data analysts and data science professionals who want to improve the efficiency of their data science applications by using the best libraries in multiple languages. Basic programming knowledge with R or Python and introductory knowledge of linear algebra is expected.

What you will learn

•Perform cleaning, sorting, classification, clustering, regression, and dataset modeling using Anaconda

•Use the package manager conda and discover, install, and use functionally efficient and scalable packages

•Get comfortable with heterogeneous data exploration using multiple languages within a project

•Perform distributed computing and use Anaconda Accelerate to optimize computational powers

•Discover and share packages, notebooks, and environments, and use shared project drives on Anaconda Cloud

•Tackle advanced data prediction problems

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

S$59.99

S$52.99

Beginning Data Science with Python and Jupyter

S$22.99

Total S$ 135.97

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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rivertech Apr 25, 2019

This book is about the tools that are available through Anaconda that are useful for performing data science - it is not about how to do data science.

Amazon Verified review

ABHIJIT Feb 28, 2019

It's fairly ok book . but not very lucid in explanation.

Sinjin Dec 14, 2021

This book had potential but wasted it by spreading itself too thin. The biggest problem is that it covers Python, R, Julia, and Octave. This may sound like a good idea, but it doesn't really work. If you plan to use mainly Python or R, then all the repeated sections really get in the way. Further, the book is fairly thin for such a large subject, and if you take away all the redundant sections, you're left with barely anything. It comes across as an expedient exercise to cash in on the surge in data science popularity by just cobbling together some screen shots and example plotting commands and by lurching from one subject to another with little exposition. A better use of your money would be to buy books dedicated to Python, R, etc. Also, check their table of contents to be sure they have a logical structure that covers important topics in detail.

ERDINC ATILGAN Jan 01, 2019

This book absolutely does not worth its price. Very little useful information regarding Data Science. Very superficial. It is basically a collection of many many screenshot pictures of someone working on various data science jumping from one subject to another. I learned very little from this book. Does not worth its cost.... Waste of money....

zoom Aug 20, 2021

This book is extremely superficial. Nothing goes even a little bit in depth. A bit of googling is a better use of time and you do not need to pay for that either. I returned my copy.

Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

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