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Hands On Data Science with Anaconda dchiappini 1st edition by Yuxing Yan, James Yan ISBN ‎ 1788831195 ‎ 978-1788831192

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ISBN 10: ‎ 1788831195
ISBN 13: ‎ 978-1788831192
Author: Yuxing Yan, James Yan

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.

Hands On Data Science with Anaconda dchiappini 1st Table of contents:

  1. Ecosystem of Anaconda
  2. Anaconda Installation
  3. Data basics
  4. Data visualization
  5. Statistics modeling in Anaconda
  6. Managing packages
  7. Optimization in Anaconda
  8. Unsupervised Learning in Anaconda
  9. Supervised Learning in Anaconda
  10. Predictive Data Analytics: Modelling and Validation
  11. Anaconda Cloud
  12. Distributed computing, parallel computing and HPCC

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Tags: Yuxing Yan, James Yan, Hands On, Anaconda dchiappini