Practical Data Science Cookbook · 2nd Edition by Dasgupta, Abhijit -- Read -- Imperial Library of Trantor

Index

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 Downloading the color images of this book Errata Piracy Questions

Preparing Your Data Science Environment

Understanding the data science pipeline

How to do it... How it works...

Installing R on Windows, Mac OS X, and Linux

How to do it... How it works... See also

Installing libraries in R and RStudio

Getting ready How to do it... How it works... There's more... See also

Installing Python on Linux and Mac OS X

Getting ready How to do it... How it works... See also

Installing Python on Windows

How to do it... How it works... See also

Installing the Python data stack on Mac OS X and Linux

Getting ready How to do it... How it works... There's more... See also

Installing extra Python packages

Getting ready How to do it... How it works... There's more... See also

Installing and using virtualenv

Getting ready How to do it... How it works... There's more... See also

Driving Visual Analysis with Automobile Data with R

Introduction Acquiring automobile fuel efficiency data

Getting ready How to do it... How it works...

Preparing R for your first project

Getting ready How to do it... There's more... See also

Importing automobile fuel efficiency data into R

Getting ready How to do it... How it works... There's more... See also

Exploring and describing fuel efficiency data

Getting ready How to do it... How it works... There's more...

Analyzing automobile fuel efficiency over time

Getting ready How to do it... How it works... There's more... See also

Investigating the makes and models of automobiles

Getting ready How to do it... How it works... There's more... See also

Creating Application-Oriented Analyses Using Tax Data and Python

Introduction

An introduction to application-oriented approaches

Preparing for the analysis of top incomes

Getting ready How to do it... How it works...

Importing and exploring the world's top incomes dataset

Getting ready How to do it... How it works... There's more... See also

Analyzing and visualizing the top income data of the US

Getting ready How to do it... How it works...

Furthering the analysis of the top income groups of the US

Getting ready How to do it... How it works...

Reporting with Jinja2

Getting ready How to do it... How it works... There's more... See also

Repeating the analysis in R

Getting ready How to do it... There's more...

Modeling Stock Market Data

Introduction

Requirements

Acquiring stock market data

How to do it...

Summarizing the data

Getting ready How to do it... How it works... There's more...

Cleaning and exploring the data

Getting ready How to do it... How it works... See also

Generating relative valuations

Getting ready How to do How it works...

Screening stocks and analyzing historical prices

Getting ready How to do it... How it works...

Visually Exploring Employment Data

Introduction Preparing for analysis

Getting ready How to do it... How it works... See also

Importing employment data into R

Getting ready How to do it... How it works... There's more... See also

Exploring the employment data

Getting ready How to do it... How it works... See also

Obtaining and merging additional data

Getting ready How to do it... How it works...

Adding geographical information

Getting ready How to do it... How it works... See also

Extracting state- and county-level wage and employment information

Getting ready How to do it... How it works... See also

Visualizing geographical distributions of pay

Getting ready How to do it... How it works... See also

Exploring where the jobs are, by industry

How to do it... How it works... There's more... See also

Animating maps for a geospatial time series

Getting ready How to do it... How it works... There is more...

Benchmarking performance for some common tasks

Getting ready How to do it... How it works... There's more... See also

Driving Visual Analyses with Automobile Data

Introduction Getting started with IPython

Getting ready How to do it... How it works... See also

Exploring Jupyter Notebook

Getting ready How to do it... How it works... There's more... See also

Preparing to analyze automobile fuel efficiencies

Getting ready How to do it... How it works... There's more... See also

Exploring and describing fuel efficiency data with Python

Getting ready How to do it... How it works... There's more... See also

Analyzing automobile fuel efficiency over time with Python

Getting ready How to do it... How it works... There's more... See also

Investigating the makes and models of automobiles with Python

Getting ready How to do it... How it works... See also

Working with Social Graphs

Introduction

Understanding graphs and networks

Preparing to work with social networks in Python

Getting ready How to do it... How it works... There's more...

Importing networks

Getting ready How to do it... How it works...

Exploring subgraphs within a heroic network

Getting ready How to do it... How it works... There's more...

Finding strong ties

Getting ready How to do it... How it works... There's more...

Finding key players

Getting ready How to do it... How it works... There's more...

The betweenness centrality The closeness centrality The eigenvector centrality Deciding on centrality algorithm

Exploring the characteristics of entire networks

Getting ready How to do it... How it works...

Clustering and community detection in social networks

Getting ready How to do it... How it works... There's more...

Visualizing graphs

Getting ready How to do it... How it works...

Social networks in R

Getting ready How to do it... How it works...

Recommending Movies at Scale (Python)

Introduction Modeling preference expressions

How to do it... How it works...

Understanding the data

Getting ready How to do it... How it works... There's more...

Ingesting the movie review data

Getting ready How to do it... How it works...

Finding the highest-scoring movies

Getting ready How to do it... How it works... There's more... See also

Improving the movie-rating system

Getting ready How to do it... How it works... There's more... See also

Measuring the distance between users in the preference space

Getting ready How to do it... How it works... There's more... See also

Computing the correlation between users

Getting ready How to do it... How it works... There's more...

Finding the best critic for a user

Getting ready How to do it... How it works...

Predicting movie ratings for users

Getting ready How to do it... How it works...

Collaboratively filtering item by item

Getting ready How to do it... How it works...

Building a non-negative matrix factorization model

How to do it... How it works... See also

Loading the entire dataset into the memory

Getting ready How to do it... How it works... There's more...

Dumping the SVD-based model to the disk

How to do it... How it works...

Training the SVD-based model

How to do it... How it works... There's more...

Testing the SVD-based model

How to do it... How it works... There's more...

Harvesting and Geolocating Twitter Data (Python)

Introduction Creating a Twitter application

Getting ready How to do it... How it works... See also

Understanding the Twitter API v1.1

Getting ready How to do it... How it works... There's more... See also

Determining your Twitter followers and friends

Getting ready How to do it... How it works... There's more... See also

Pulling Twitter user profiles

Getting ready How to do it... How it works... There's more... See also

Making requests without running afoul of Twitter's rate limits

Getting ready How to do it... How it works...

Storing JSON data to disk

Getting ready How to do it... How it works...

Setting up MongoDB for storing Twitter data

Getting ready How to do it... How it works... There's more... See also

Storing user profiles in MongoDB using PyMongo

Getting ready How to do it... How it works...

Exploring the geographic information available in profiles

Getting ready How to do it... How it works... There's more... See also

Plotting geospatial data in Python

Getting ready How to do it... How it works... There's more... See also

Forecasting New Zealand Overseas Visitors

Introduction The ts object

Getting ready How to do it How it works...

Visualizing time series data

Getting ready How to do it... How it works...

Simple linear regression models

Getting ready How to do it... How it works... See also

ACF and PACF

Getting ready How to do it... How it works...

ARIMA models

Getting ready How to do it... How it works...

Accuracy measurements

Getting ready How to do it... How it works...

Fitting seasonal ARIMA models

Getting ready How to do it... How it works... There's more...

German Credit Data Analysis

Introduction Simple data transformations

Getting ready How to do it... How it works... There's more...

Visualizing categorical data

Getting ready How to do it... How it works...

Discriminant analysis

Getting ready How to do it... How it works... See also

Dividing the data and the ROC

Getting ready How to do it...

Fitting the logistic regression model

Getting ready How to do it... How it works... See also

Decision trees and rules

Getting ready How to do it... How it works... See also

Decision tree for german data

Getting ready How to do it ... How it works...

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