Book Image

Hands-On Data Science with Anaconda

By : Yuxing Yan, James Yan
Book Image

Hands-On Data Science with Anaconda

By: Yuxing Yan, James 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)

UCI machine learning

The UCI maintains 413 datasets, as of 1/10/2018, for machine learning: http://archive.ics.uci.edu/ml/index.php. The following screenshot shows the top three downloaded datasets:

For the number one downloaded dataset called Iris, we have the following information:

The beauty of these datasets is that they give quite detailed information such as the source, the creator or donator, a description, and even citations.

The following table shows several potential public data sources for users in the area of data science and business analytics:

Name
Web page
Data types

UCI


http://archive.ics.uci.edu/ml/index.php

Data for machine learning

World Health Organization


http://www.who.int/en/

Healthcare data

Amazon Web Services

https://aws.amazon.com/cn/datasets/?nc1=h_ls

Web usage

Data.gov (US Government Open Data)

https://www.data...