Free eBook: Practical Data Science Cookbook – Second Edition

Starting with the basics, this free eBook covers how to set up your numerical programming environment, introduces you to the data science pipeline, and guides you through several data projects in a step-by-step format.

Sponsored Post.
Data is the backbone of any modern business or organization. As increasing amounts of data are generated each year, the need to analyze and create value out of it is more important than ever. Companies that know what to do with their data and how to do it well will have a competitive advantage over companies that don’t. Because of this, there will be an increasing demand for people that possess both the analytical and technical abilities to extract valuable insights from data and create valuable solutions that put those insights to use.

Packt Free Ebook Banner

This free eBook Practical Data Science Cookbook - Second Edition by Packt consists of over 85 recipes to help you complete real-world data science projects in R and Python and will help you:

  • Learn and understand the installation procedure and environment required for R and Python on various platforms
  • Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python
  • Build a predictive model and an exploratory model
  • Analyze the results of your model and create reports on the acquired data
  • Build various tree-based methods and Build random forest

Want to learn more about Data Science and Business Intelligence, have a look at these bestselling books by Packt and upgrade your skills.

Packt Thoughtful Data Science

Thoughtful Data Science brings new strategies and a carefully crafted programmer's toolset to work with modern, cutting-edge data analysis. This new approach is designed specifically to give developers more efficiency and power to create cutting-edge data analysis and artificial intelligence insights.









Packt Machine Learning Algorithms 2nd Ed

Machine Learning Algorithms - Second Edition walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning.

Hands-On Automated Machine Learning will help you learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more.

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.

Python Data Science Essentials - Second Edition takes you through all you need to know to succeed in data science using Python. Get modern insight into the core of Python data, including the latest versions of Jupyter notebooks, NumPy, Pandas and scikit-learn