Index
A
- agent-based simulations
- limitations / Introduction
- reference link / Introduction
- sheep-wolf predation example / Determining if a population of sheep is in danger of extinction due to a wolf pack, How it works…
- airports
- URL / Introduction
- alternative specific constants (ASCs)
- about / How it works…
- American River dataset
- URL / How to do it…
- Anaconda
- URL / Getting ready
- Application Programming Interface (API)
- about / How it works…
- Application Programming Interfaces (APIs) / Reading raw text from the Web
- arpack
- reference linkTopicn / How it works…
- article
- topic, handling / Identifying the topic of an article, How it works…
- Artificial Neural Networks (ANN)
- about / Employing neural networks to classify calls
- reference link / See also
- auto-regressive (AR) component
- about / How it works…
- autocorrelation function (ACF)
- about / How to do it…
- reference link / How it works…
- autoregressive integrated moving average (ARIMA) model
- about / Forecasting the future with ARMA and ARIMA models
- future, forecasting with / Getting ready, How it works…
- autoregressive moving average (ARMA) model
- about / Forecasting the future with ARMA and ARIMA models
- future, forecasting with / Getting ready, How it works…
- Axes object
- URL / How it works…
B
- Baxter-King (BK) filter
- about / There's more…
- URL / There's more…
- BIRCH algorithm
- used, for searching groups of potential subscribers / Finding groups of potential subscribers with DBSCAN and BIRCH algorithms, How to do it…, How it works…, See also…
- reference link / See also…
- Bokeh
- URL / See also…
- bottom up approach
C
- c-means
- fuzzy clustering model, building with / Building fuzzy clustering model with c-means, How it works…
- calls
- classifying, with decision trees / Classifying calls with decision trees, How to do it…, How it works…, There's more…
- classifying, with neural networks / Employing neural networks to classify calls, How it works…, See also
- CART
- used, for estimating output of electric plant / Estimating the output of an electric plant using CART, How it works…, There's more…
- reference link / See also
- categorical variables
- encoding / Encoding categorical variables, How it works…
- Christiano-Fitzgerald (CF) filter
- about / There's more…
- URL / There's more…
- classification engine
- Support Vector Machines (SVMs), utilizing / Utilizing Support Vector Machines as a classification engine, Getting ready, How it works…, There's more…
- classification models
- reference link / See also
- clustering method
- performance, assessing / Assessing the performance of a clustering method, Getting ready, How it works…
- Davis-Bouldin / Assessing the performance of a clustering method
- Pseudo-F / Assessing the performance of a clustering method
- Silhouette Score / Assessing the performance of a clustering method
- reference link / Assessing the performance of a clustering method, See also…
- clusters
- discovering, with mean shift clustering model / Discovering clusters with mean shift clustering model, How it works…
- color maps
- URL / There's more…
- Columbia River dataset
- URL / How to do it…
- conda
- URL / Getting ready
- convolution
- about / How to do it…
- reference link / How to do it…
- correlations
- between features, exploring / Exploring correlations between features, How to do it…, See also…
- credit card fraud
- victims details, identifying / Identifying people whose credit card details were stolen, How to do it…, How it works…, There's more…
- identifying / Identifying those responsible for stealing the credit cards, How it works…
- CSV/TSV files
- reading, with Python / Reading and writing CSV/TSV files with Python, How to do it…, How it works…, See also
- writing, with Python / Reading and writing CSV/TSV files with Python
- csv module
- URL / There's more…
D
- D3.js
- URL / How it works…, See also…
- data
- transforming, from OpenRefine / Opening and transforming data with OpenRefine, How to do it…
- opening, from OpenRefine / Opening and transforming data with OpenRefine, How to do it…
- exploring, with OpenRefine / Exploring the data with Open Refine, How to do it…
- sampling / Sampling the data, How it works…, There's more…
- data clustering
- with, k-means algorithm / Clustering data with k-means algorithm, How it works…, There's more…
- with, hierarchical model / Using hierarchical model to cluster your data, How to do it…, How it works…, There's more…
- dataset
- splitting, into training / Splitting the dataset into training, cross-validation, and testing, How it works…, There's more…
- splitting, into cross-validation / Splitting the dataset into training, cross-validation, and testing, How it works…, There's more…
- splitting, into testing / Splitting the dataset into training, cross-validation, and testing, How it works…, There's more…
- preparing, to estimate Discrete choice models (DCMs) / Preparing a dataset to estimate discrete choice models, How to do it…, How it works…
- date objects
- handling, in Python / Handling date objects in Python, How it works…, There's more…
- DateOffset(...) method
- URL / How it works…
- DatetimeIndex
- about / How it works…
- URL / How it works…
- Davis-Bouldin
- about / How it works…
- reference link / How it works…
- Daylight Saving Time (DST) / How it works…
- DBSCAN algorithm
- used, for searching groups of potential subscribers / Finding groups of potential subscribers with DBSCAN and BIRCH algorithms, How to do it…, How it works…, See also…
- reference link / See also…
- DecisionTreeClassifier(...) parameters
- reference link / How it works…
- decision trees
- used, for classifying calls / Classifying calls with decision trees, Getting ready, How it works…, There's more…
- decomposition models
- reference link / There's more…
- decorators
- reference link / There's more…
- descriptive statistics
- producing / Producing descriptive statistics, How to do it…, There's more…, See also…
- URL / How it works…
- dimension extraction
- with Linear Discriminant Analysis (LDA) / Extracting the useful dimensions using Linear Discriminant Analysis, How to do it…, How it works…
- dimension reduction
- with Kernel PCA / Reducing the dimensions using the kernel version of PCA, Getting ready, How it works…, There's more…
- Discrete choice models (DCMs)
- about / Introduction
- Document Object Model (DOM) / How it works…
- duplicates
- removing / Removing duplicates, How to do it…
E
- electric car
- out-of-energy occurrences, simulating / Simulating out-of-energy occurrences for an electric car, How to do it…, How it works…
- electric power dataset
- URL / Introduction
- Engineering Statistics Handbook
- URL / How it works…
- excel files
- reading, with Python / Reading and writing Excel files with Python, How it works…, There's more…
- writing, with Python / Reading and writing Excel files with Python, How it works…, There's more…
- explained inertia
- about / How it works…
- explicit loops
- URL / How it works…
F
- .fillna(...)
- URL / How it works…
- FastPCA(...) method
- URL / How it works…
- features
- normalizing / Normalizing and standardizing the features, How to do it…, How it works…
- standardizing / Normalizing and standardizing the features, How to do it…, How it works…
- correlations, exploring / Exploring correlations between features, How it works…, See also…
- interactions, visualizing / Visualizing the interactions between features, How to do it…, How it works…, See also…
- Force Atlas algorithm
- parameters / How to do it…
- fuzzy clustering model
- building, with c-means / Building fuzzy clustering model with c-means, How it works…
G
- .get_dummies(...) method
- URL / How it works…
- gamma parameter
- reference link / How it works…
- gas station
- refueling process, simulating with SimPy / Using SimPy to simulate the refueling process of a gas station, How it works…, There's more…
- Generalized Linear Model (GLM)
- about / How it works…
- generators
- URL / How it works…
- Gephi
- about / Using Gephi to visualize graphs
- using, for visualizing graphs / Using Gephi to visualize graphs, How to do it…, There's more…
- URL / Using Gephi to visualize graphs
- Gini impurity measure
- about / How it works…
- reference link / How it works…
- Git
- URL / Introduction
- GNU Scientific Library (GSL)
- about / Getting ready
- URL / Getting ready
- graph objects
- handling, in Python with NetworkX / Handling graph objects in Python with NetworkX, How to do it…, How it works…, There's more…
- graphs
- about / Introduction
- visualizing, Gephi used / Using Gephi to visualize graphs, How to do it…, There's more…
- GraphViz
- about / How it works…
- URL / How it works…
- formats, URL / How it works…
- GREL
- used, for cleaning data / Using regular expressions and GREL to clean up data, How to do it…, See also
H
- hierarchical model
- used, for clustering data / Using hierarchical model to cluster your data, How to do it…, How it works…, There's more…
- reference link / See also…
- histograms
- producing / Producing histograms, How to do it…, How it works…, There's more…
- URL / See also…
- Hodrick-Prescott (HP) filter
- about / There's more…
- URL / There's more…
- HTML pages
- retrieving, with pandas / Retrieving HTML pages with pandas, How it works…
I
- IIA violations
- handling, with Nested Logit model / Handling IIA violations with the Nested Logit model, How to do it…, How it works…
- Independence
- violations, testing from Irrelevant Alternatives / Testing for violations of the Independence from Irrelevant Alternatives, How it works…, There's more…
- Independence from Irrelevant Alternatives (IIA)
- Independent and Identically Distributed (IID)
- Independent Component Analysis (ICA)
- about / Using various dimension reduction techniques to classify calls using the k-Nearest Neighbors classification model
- comparing, with PCA and truncated SVD / Getting ready, How it works…
- indexing
- URL / How it works…
- interactions
- between features, visualizing / Visualizing the interactions between features, How to do it…, How it works…, See also…
- internal clustering validation methods
- reference link / Assessing the performance of a clustering method
J
- joins
- references / How it works…
- JSON
- JSON files
- reading, with Python / Reading and writing JSON files with Python, There's more…
- writing, with Python / Reading and writing JSON files with Python, There's more…
K
- .KNeighborsClassifier(...) method
- URL / How it works…
- k-means algorithm
- used, for clustering data / Clustering data with k-means algorithm, How it works…, There's more…
- reference link / See also…
- optimal number of clusters, searching / Finding an optimal number of clusters for k-means, How to do it…, How it works…, There's more…
- k-Nearest Neighbors (kNN) algorithm
- about / Using various dimension reduction techniques to classify calls using the k-Nearest Neighbors classification model
- used, for classifying calls / Getting ready, How it works…
- employing, in regression problem / Employing the kNN model in a regression problem, How it works…
- kd-Trees
- reference link / How it works…
- Kernel PCA
- used, for reducing dimensions / Reducing the dimensions using the kernel version of PCA, Getting ready, How it works…, There's more…
- about / Using Principal Component Analysis to find things that matter
- reference linkTopicn / See also
L
- lambdas
- URL / How it works…
- Linear Discriminant Analysis (LDA)
- about / Extracting the useful dimensions using Linear Discriminant Analysis
- used, for dimension extraction / Extracting the useful dimensions using Linear Discriminant Analysis, How to do it…, How it works…
- linear regression model
- building / Building Linear Regression model, How it works…, There's more…
- link function
- reference link / How it works…
- logistic regression
- using, as universal classifier / Getting ready, How it works…, There's more…
M
- Machine Learning PYthon (mlpy)
- about / Getting ready
- markers
- reference link / How it works…
- Matplotlib customizations
- URL / There's more…
- mean shift clustering model
- used, for discovering clusters / Discovering clusters with mean shift clustering model, How it works…
- reference link / See also…
- missing observations
- imputing / Imputing missing observations, How it works…
- Mixed Logit model
- sophisticated substitution patterns, managing with / Managing sophisticated substitution patterns with the Mixed Logit model, How to do it…, How it works…
- mlpy
- model families
- reference link / How it works…
- models
- Modified Latin Hypercube Sampling (MLHS) / How it works…
- MongoClient(...) method
- URL / How it works…
- MongoDB
- retrieving from / Storing and retrieving from MongoDB, How it works…
- storing from / Storing and retrieving from MongoDB, How it works…
- URL / Getting ready
- movies
- classifying, reviews based / Classifying movies based on their reviews, How it works…
- moving average (MA) component
- about / How it works…
- multicollinearity
- Multinomial Logit (MNL) model
- multivariate charts
- creating / Creating multivariate charts, How to do it…, How it works…, See also…
N
- n-grams
- named entities
- Natural Language Processing (NLP)
- about / Introduction
- Naïve Bayes
- classifying with / Classifying with Naïve Bayes, How it works…
- reference link / See also
- Naïve Bayes classifier
- about / Classifying with Naïve Bayes
- NetworkX
- about / How to do it…
- URL / See also
- neural networks
- used, for classifying calls / Employing neural networks to classify calls, How it works…, See also
- used, for predicting output of power plant / Training a Neural Network to predict the output of a power plant, How to do it…, How it works…, See also
- reference link / See also
- NLTK
- URL / How it works…
- NLTK book
- URL / Getting ready, How it works…
- non-square matrices
- reference link / How it works…
- noun phrases (NP) / Identifying the sentence structure
- NumPy
- URL / How it works…, See also…
O
- observations
- binning / Binning the observations, How it works…, There's more…
- obsIter
- about / How it works…
- online converters
- URL / How it works…
- OpenRefine
- data, transforming from / Opening and transforming data with OpenRefine, How to do it…, See also
- data, opening from / Opening and transforming data with OpenRefine, How to do it…, See also
- URL / Getting ready
- data, exploring with / Exploring the data with Open Refine, How to do it…
- Optunity
- URL / There's more…, See also
- Ordinary Least Squares (OLS)
- about / Using OLS to forecast how much electricity can be produced
- used, for forecasting / Getting ready, How it works…, There's more…
- reference link / See also
- out-of-energy occurrences
- simulating, for electric car / Simulating out-of-energy occurrences for an electric car, How to do it…, How it works…
P
- pandas
- URL / Getting ready, How to do it…, See also, How it works…
- HTML pages, retrieving with / Retrieving HTML pages with pandas, How it works…
- parsers
- URL / How it works…
- partial autocorrelation function (PACF)
- about / How to do it…
- reference link / How it works…
- part of speech
- tags, URL / How it works…
- parts of a sentence
- URL / See also
- parts of speech
- PCA
- about / Reducing the dimensions using the kernel version of PCA
- reference link / How it works…
- URL, for visualization / See also
- using / Using Principal Component Analysis to find things that matter, Getting ready, How it works…, There's more…
- comparing, with ICA and truncated SVD / Getting ready, How it works…
- piping
- about / Getting ready
- URL / Getting ready
- PostgreSQL database
- URL / Getting ready
- potential subscriber groups
- searching, with BIRCH algorithm / Finding groups of potential subscribers with DBSCAN and BIRCH algorithms, How to do it…, How it works…, See also…
- searching, with DBSCAN algorithm / Finding groups of potential subscribers with DBSCAN and BIRCH algorithms, How to do it…, How it works…, See also…
- prepositional phrases (PP) / Identifying the sentence structure
- principal components
- about / Creating three-dimensional scatter plots to present principal components
- three-dimensional scatter plots, creating / Creating three-dimensional scatter plots to present principal components, How it works…
- searching, randomized PCA used / Finding the principal components in your data using randomized PCA, How to do it…, How it works…, There's more…
- reference link / There's more…
- principal components (PCs)
- about / There's more…
- probability density function (PDF) / How it works…
- Pseudo-F
- about / How it works…
- psycopg2
- URL / Getting ready
- PyBrain
- installing / Getting ready
- URL, for modules / How it works…
- PyMongo
- URL / How it works…, See also
- Python
- CSV/TSV files, reading with / Reading and writing CSV/TSV files with Python, How to do it…, How it works…, There's more…, See also
- CSV/TSV files, writing with / Reading and writing CSV/TSV files with Python, How to do it…, How it works…, There's more…, See also
- JSON files, writing with / Reading and writing JSON files with Python, There's more…
- JSON files, reading with / Reading and writing JSON files with Python, There's more…
- excel files, reading with / Getting ready, There's more…
- excel files, writing with / Getting ready, There's more…
- XML files, writing with / Reading and writing XML files with Python, How to do it…, How it works…
- XML files, reading with / Reading and writing XML files with Python, How it works…
- URL / Getting ready
- reference link / How it works…
- date objects, handling / Handling date objects in Python, How it works…, There's more…
- Python Biogeme
- reference / Introduction
- Python package
- URL / Introduction
Q
- quantiles / There's more…
R
- Radial Basis Functions (RBFs)
- about / How it works…
- reference link / How it works…
- RandomForestClassifier(...) parameters
- reference link / How it works…
- Random Forest model
- used, for solving regression problem / Applying the Random Forest model to a regression analysis, How to do it…, How it works…
- randomized PCA
- used, for searching principal components / Finding the principal components in your data using randomized PCA, How to do it…, How it works…, There's more…
- random tree forests
- used, for predicting subscribers / Predicting subscribers with random tree forests, How it works…, There's more…
- reference link / Predicting subscribers with random tree forests
- range(...) method
- URL / How it works…
- raw text
- reading, from web / Reading raw text from the Web
- read_json
- URL / See also
- Receiver Operating Characteristic (ROC)
- about / How it works…
- refueling process
- simulating, SimPy used / Using SimPy to simulate the refueling process of a gas station, How it works…, There's more…
- regression problem
- k-Nearest Neighbors (kNN) algorithm, employing / Employing the kNN model in a regression problem, How it works…
- solving, Random Forest model used / Applying the Random Forest model to a regression analysis, How to do it…, How it works…
- regular expressions
- used, for cleaning data / Using regular expressions and GREL to clean up data, How to do it…, See also
- relational database
- storing from / Storing and retrieving from a relational database, Getting ready, How it works…, There's more…
- retrieving from / Storing and retrieving from a relational database, Getting ready, How it works…, There's more…
- river flow datasets
- URL / Introduction
S
- .supervised.trainers module
- URL / How it works…
- Scalable Vector Graphics (SVG) object / How it works…
- SciPy
- URL, for documentation / How it works…
- seasonality
- Seattle Times
- URL / Introduction
- sentence structure
- identifying / Identifying the sentence structure, How it works…
- Silhouette Score
- about / How it works…
- SimPy
- reference link / Introduction
- used, for simulating refueling process of gas station / Using SimPy to simulate the refueling process of a gas station, How it works…, There's more…
- sophisticated substitution patterns
- managing, with Mixed Logit model / Managing sophisticated substitution patterns with the Mixed Logit model, How to do it…, How it works…
- SQLAlchemy
- URL / See also
- StackOverflow
- URL / How it works…
- statistical functions
- URL / See also…
- Statsmodels
- reference link / There's more…
- subscribers
- predicting, with random tree forests / Predicting subscribers with random tree forests, How it works…, There's more…
- Support Vector Machines (SVMs)
- utilizing, as classification engine / Utilizing Support Vector Machines as a classification engine, Getting ready, How it works…, There's more…
- URL / Utilizing Support Vector Machines as a classification engine
- used, for gauging electricity production / Gauging the amount of electricity a plant can produce using SVMs, How it works…, There's more…, See also
T
- tanh function
- about / How it works…
- reference link / How it works…
- text
- normalizing / Tokenizing and normalizing text, Getting ready, How to do it…, How it works…
- tokenizing / Tokenizing and normalizing text, Getting ready, How to do it…, How it works…
- three-dimensional scatter plots
- time series
- about / Handling date objects in Python
- reference link / How it works…, See also
- time series data
- dealing with / Understanding time series data, How it works…, There's more…
- observations, smoothing / Smoothing and transforming the observations, How it works…, There's more…
- observations, transforming / Smoothing and transforming the observations, How it works…, There's more…
- filtering / Filtering the time series data, How to do it…, How it works…, There's more…
- top down approach
- trend
- truncated singular value decomposition (SVD)
- comparing, with PCA and ICA / How to do it…, How it works…
U
- universal classifier
- logistic regression, using / Getting ready, How it works…, There's more…
- unsupervised learning paradigm
- about / Introduction
- Urllib
- URL / Getting ready
V
- verb phrases (VP) / Identifying the sentence structure
W
- web
- raw text, reading from / Reading raw text from the Web, How to do it…, How it works…
- web development
- URL / How to do it…
- WordNet lemmatizer
- URL / How it works…
- word tokenization
- URL / See also
X
- xlrd
- URL / There's more…
- XML files
- reading, with Python / Reading and writing XML files with Python, How to do it…, How it works…
- writing, with Python / Reading and writing XML files with Python, How to do it…, How it works…
- xml module