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Apache Spark for Data Science Cookbook
Apache Spark for Data Science Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Why subscribe?
Customer Feedback
Preface
What this book covers
What you need for this book
Who this book is for
Sections
Getting ready
How to do it…
How it works…
There's more…
See also
Conventions
Reader feedback
Customer support
Downloading the example code
Errata
Piracy
Questions
1. Big Data Analytics with Spark
Introduction
Initializing SparkContext
Getting ready
How to do it…
How it works…
There's more…
See also
Working with Spark's Python and Scala shells
How to do it…
How it works…
There's more…
See also
Building standalone applications
Getting ready
How to do it…
How it works…
There's more…
See also
Working with the Spark programming model
How to do it…
How it works…
There's more…
See also
Working with pair RDDs
Getting ready
How to do it…
How it works…
There's more…
See also
Persisting RDDs
Getting ready
How to do it…
How it works…
There's more…
See also
Loading and saving data
Getting ready
How to do it…
How it works…
There's more…
See also
Creating broadcast variables and accumulators
Getting ready
How to do it…
How it works…
There's more…
See also
Submitting applications to a cluster
Getting ready
How to do it…
How it works…
There's more…
See also
Working with DataFrames
Getting ready
How to do it…
How it works…
There's more…
See also
Working with Spark Streaming
Getting ready
How to do it…
How it works…
There's more…
See also
2. Tricky Statistics with Spark
Introduction
Working with Pandas
Variable identification
Getting ready
How to do it…
How it works…
There's more…
See also
Sampling data
Getting ready
How to do it…
How it works…
There's more…
See also
Summary and descriptive statistics
Getting ready
How to do it…
How it works…
There's more…
See also
Generating frequency tables
Getting ready
How to do it…
How it works…
There's more…
See also
Installing Pandas on Linux
Getting ready
How to do it…
How it works…
There's more…
See also
Installing Pandas from source
Getting ready
How to do it…
How it works…
There's more…
See also
Using IPython with PySpark
Getting ready
How to do it…
How it work…
There's more…
See also
Creating Pandas DataFrames over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Splitting, slicing, sorting, filtering, and grouping DataFrames over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing co-variance and correlation using Pandas
Getting ready
How to do it…
How it works…
There's more…
See also
Concatenating and merging operations over DataFrames
Getting ready
How to do it…
How it works…
There's more…
See also
Complex operations over DataFrames
Getting ready
How to do it…
How it works…
There's more…
See also
Sparkling Pandas
Getting ready
How to do it…
How it works…
There's more…
See also
3. Data Analysis with Spark
Introduction
Univariate analysis
Getting ready
How to do it…
How it works…
There's more…
See also
Bivariate analysis
Getting ready
How to do it…
How it works…
There's more…
See also
Missing value treatment
Getting ready
How to do it…
How it works…
There's more…
See also
Outlier detection
Getting ready
How to do it…
How it works…
There's more…
See also
Use case - analyzing the MovieLens dataset
Getting ready
How to do it…
How it works…
There's more…
See also
Use case - analyzing the Uber dataset
Getting ready
How to do it…
How it works…
There's more…
See also
4. Clustering, Classification, and Regression
Introduction
Supervised learning
Unsupervised learning
Applying regression analysis for sales data
Variable identification
Getting ready
How to do it…
How it works…
There's more…
See also
Data exploration
Getting ready
How to do it…
How it works…
There's more…
See also
Feature engineering
Getting ready
How to do it…
How it works…
There's more…
See also
Applying linear regression
Getting ready
How to do it…
How it works…
There's more…
See also
Applying logistic regression on bank marketing data
Variable identification
Getting ready
How to do it…
How it works…
There's more…
See also
Data exploration
Getting ready
How to do it…
How it works…
There's more…
See also
Feature engineering
Getting ready
How to do it…
How it works…
There's more…
See also
Applying logistic regression
Getting ready
How to do it…
How it works…
There's more…
See also
Real-time intrusion detection using streaming k-means
Variable identification
Getting ready
How to do it…
How it works…
There's more…
See also
Simulating real-time data
Getting ready
How to do it…
How it works…
There's more…
See also
Applying streaming k-means
Getting ready
How to do it…
How it works…
There's more…
See also
5. Working with Spark MLlib
Introduction
Working with Spark ML pipelines
Implementing Naive Bayes' classification
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing decision trees
Getting ready
How to do it…
How it works…
There's more…
See also
Building a recommendation system
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing logistic regression using Spark ML pipelines
Getting ready
How to do it…
How it works…
There's more…
See also
6. NLP with Spark
Introduction
Installing NLTK on Linux
Getting ready
How to do it…
How it works…
There's more…
See also
Installing Anaconda on Linux
Getting ready
How to do it…
How it works…
There's more…
See also
Anaconda for cluster management
Getting ready
How to do it…
How it works…
There's more…
See also
POS tagging with PySpark on an Anaconda cluster
Getting ready
How to do it…
How it works…
There's more…
See also
NER with IPython over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing openNLP - chunker over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing openNLP - sentence detector over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing stanford NLP - lemmatization over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing sentiment analysis using stanford NLP over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
7. Working with Sparkling Water - H2O
Introduction
Features
Working with H2O on Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing k-means using H2O over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing spam detection with Sparkling Water
Getting ready
How to do it…
How it works…
There's more…
See also
Deep learning with airlines and weather data
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing a crime detection application
Getting ready
How to do it…
How it works…
There's more…
See also
Running SVM with H2O over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
8. Data Visualization with Spark
Introduction
Visualization using Zeppelin
Getting ready
How to do it…
Installing Zeppelin
Customizing Zeppelin's server and websocket port
Visualizing data on HDFS - parameterizing inputs
Running custom functions
Adding external dependencies to Zeppelin
Pointing to an external Spark Cluster
How to do it…
How it works…
There's more…
See also
Creating scatter plots with Bokeh-Scala
Getting ready
How to do it…
How it works…
There's more…
See also
Creating a time series MultiPlot with Bokeh-Scala
Getting ready
How to do it…
How it work…
There's more…
See also
Creating plots with the lightning visualization server
Getting ready
How to do it…
How it works…
There's more…
See also
Visualize machine learning models with Databricks notebook
Getting ready
How to do it…
How it works…
There's more…
See also
9. Deep Learning on Spark
Introduction
Installing CaffeOnSpark
Getting ready
How to do it…
How it works…
There's more…
See also
Working with CaffeOnSpark
Getting ready
How to do it…
How it works…
There's more…
See also
Running a feed-forward neural network with DeepLearning 4j over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Running an RBM with DeepLearning4j over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Running a CNN for learning MNIST with DeepLearning4j over Spark
Getting ready
How to do it…
How it works…
There's more…
See also
Installing TensorFlow
Getting ready
How to do it…
How it works…
There's more…
See also
Working with Spark TensorFlow
Getting ready
How to do it…
How it works…
There's more…
See also
10. Working with SparkR
Introduction
Installing R
Getting ready…
How to do it…
How it works…
There's more…
See also
Interactive analysis with the SparkR shell
Getting ready
How to do it…
How it works…
There's more…
See also
Creating a SparkR standalone application from RStudio
Getting ready
How to do it…
How it works…
There's more…
See also
Creating SparkR DataFrames
Getting ready
How to do it…
How it works…
There's more…
See also
SparkR DataFrame operations
Getting ready
How to do it…
How it works…
There's more…
See also
Applying user-defined functions in SparkR
Getting ready
How to do it…
How it works…
There's more…
See also
Running SQL queries from SparkR and caching DataFrames
Getting ready
How to do it…
How it works…
There's more…
See also
Machine learning with SparkR
Getting ready
How to do it…
How it works…
There's more…
See also
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