Book Image

Apache Spark for Data Science Cookbook

By : Padma Priya Chitturi
Book Image

Apache Spark for Data Science Cookbook

By: Padma Priya Chitturi

Overview of this book

Spark has emerged as the most promising big data analytics engine for data science professionals. The true power and value of Apache Spark lies in its ability to execute data science tasks with speed and accuracy. Spark’s selling point is that it combines ETL, batch analytics, real-time stream analysis, machine learning, graph processing, and visualizations. It lets you tackle the complexities that come with raw unstructured data sets with ease. This guide will get you comfortable and confident performing data science tasks with Spark. You will learn about implementations including distributed deep learning, numerical computing, and scalable machine learning. You will be shown effective solutions to problematic concepts in data science using Spark’s data science libraries such as MLLib, Pandas, NumPy, SciPy, and more. These simple and efficient recipes will show you how to implement algorithms and optimize your work.
Table of Contents (17 chapters)
Apache Spark for Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Introduction


The techniques for data exploration and preparation are typically applied before applying models on the data and this also helps in developing complex statistical models. These techniques are also important for eliminating or sharpening a potential hypothesis which can be addressed by the data. The amount of time spent in preprocessing and data exploration provides the quality input which decides the quality of the output. Once the business hypothesis is ready, a series of steps in data exploration and preparation decides the accuracy of the model and reliable results.

In this chapter, we are going to look at the following common data analysis techniques such as univariate analysis, bivariate analysis, missing values treatment, identifying the outliers, and techniques for variable transformation.