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- Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
Ebook
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.
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.
- 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
- Title: Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
- Author: Yuxing Yan, James Yan
- Original title: Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
- ISBN: 9781788834735, 9781788834735
- Date of issue: 2018-05-31
- Format: Ebook
- Item ID: e_14wb
- Publisher: Packt Publishing