Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Buy

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

  • 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

Book 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.

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

Who This Book Is 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.

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
(HTML tags aren't allowed.)

Advanced JavaScript: Speed up web development with the powerful features and benefits of JavaScript
Advanced JavaScript: Speed up web development with the powerful features and benefits of JavaScript

Gain a deeper understanding of JavaScript and apply it to build small applications in backend, frontend, and mobile frameworks.

Key Features

  • Explore the new ES6 syntax, the event loop, and asynchronous programming
  • Learn the test-driven development approach when building...
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that of human brains than traditional neural networks; they have a ‘thought process’ that is capable of learning abstract...
Complete Vue.js 2 Web Development: Practical guide to building end-to-end web development solutions with Vue.js 2
Complete Vue.js 2 Web Development: Practical guide to building end-to-end web development solutions with Vue.js 2

Become a pro in creating modern interactive web applications using this JavaScript framework

Key Features

  • Explore the exciting features of Vue.js 2 through interesting examples and practical recipes
  • Craft highly modular applications using design patterns and the component...

Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Mastering Exploratory Analysis with pandas: Build an end-to-end data analysis workflow with Python
Mastering Exploratory Analysis with pandas: Build an end-to-end data analysis workflow with Python

Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization

Key Features

  • Learn to set up data analysis pipelines with pandas and Jupyter notebooks
  • Effective techniques for data selection, manipulation, and...
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras
Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

  • Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision
  • Combine the power of Python, Keras, and TensorFlow to...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy