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Hands-On Data Science with Anaconda

Hands-On Data Science with Anaconda

By : Yuxing Yan, Yan
2.6 (5)
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Hands-On Data Science with Anaconda

Hands-On Data Science with Anaconda

2.6 (5)
By: Yuxing Yan, Yan

Overview of this book

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.
Table of Contents (15 chapters)
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Package management in R

There are three ways to install an R package. The first way is to use the install.packages() function. For example, assume that we plan to install an R package called rattle. We can use the following code to do this:

   >install.packages("rattle")

The second way is to click Packages on the menu bar, choose a mirror location, then find the R package from a list (see the following screenshot showing the top part of the list):

The third way to install an R package is to install it from a local ZIP file. To do so, first, manually download a ZIP file to your computer. Then click Packages on the menu bar and choose Install package(s) from local files..., as shown here:

To update a package, click Packages on the menu bar, then choose Update packages... from the drop-down menu (that is, the fifth entry in the previous screenshot). Another way to...

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