Index
A
- AdaBoost
- about / Boosting for better learning
- reference link / See also
- AdaBoostRegressor class
- reference link / See also
- agglomerative clustering / Applying hierarchical clustering on images
- AgglomerativeClustering class
- reference link / See also
- aggregated counts
- fitting, to Poisson distribution / Fitting aggregated counts to the Poisson distribution, How to do it..., See also
- aggregated data
- fitting, to gamma distribution / Fitting aggregated data to the gamma distribution, How to do it...
- Alembic
- URL / See also
- alias command / The alias command
- American Standard Code for Information Interchange (ASCII)
- Anaconda
- about / Setting up Anaconda
- setting up / Setting up Anaconda, How to do it..., There's more...
- URL / Getting ready
- analytic signal
- reference link / See also
- ANAOVA
- used, for evaluating relations between variables / Evaluating relations between variables with ANOVA, How to do it...
- one-way ANOVA / Evaluating relations between variables with ANOVA
- two-way ANOVA / Evaluating relations between variables with ANOVA
- angle() function
- reference link / See also
- Anscombe's quartet
- graphing / Graphing Anscombe's quartet, How to do it...
- reference link / See also
- Apache Spark
- about / Setting up Spark
- approximation / Applying the discrete wavelet transform
- arbitrary precision
- using, for optimization / Using arbitrary precision for optimization, How to do it...
- used, for linear algebra / Using arbitrary precision for linear algebra, How to do it...
- area under the curve (AUC,ROC AUC or AUROC)
- argrelmax() function
- association tables
- implementing / Implementing association tables, How to do it…
- assortativity coefficient, graph
- calculating / Calculating the assortativity coefficient of a graph, How to do it...
- reference link / See also
- asyncio module
- used, for accessing resources asynchronously / Accessing resources asynchronously with the asyncio module, How to do it...
- reference link / See also
- autoregressive models
- used, for determining market efficiency / Determining market efficiency with autoregressive models, How to do it..., See also
- reference link / See also
- average clustering coefficient
- average_clustering() function
- reference link / See also
B
- bag-of-words model
- reference link / See also
- bagging
- used, for improving results / Bagging to improve results, How to do it...
- reference link / See also
- bagging (bootstrap aggregating) / Learning with random forests
- BaggingClassifier
- reference link / See also
- Bartlett's method / Estimating power spectral density with the Welch method
- bashmark commands
- reference link / Command-line tools
- s <bookmark_name> / Command-line tools
- g <bookmark_name> / Command-line tools
- p <bookmark_name> / Command-line tools
- d <bookmark_name> / Command-line tools
- l / Command-line tools
- basic terms database
- implementing / Implementing a basic terms database, How to do it..., How it works
- Bayesian analysis / Determining bias
- Beaufort scale
- reference link / Rebinning data
- Benevolent Dictator for Life (BDFL)
- about / Scraping the Web
- beta
- about / Exploring risk and return
- reference link / See also
- betweenness centrality
- determining / Determining the betweenness centrality, How to do it..., See also
- reference link / See also
- betweenness_centrality() function
- reference link / See also
- bias
- determining / Determining bias, How to do it..., See also
- binary variable
- correlating, with point biserial correlation / Correlating a binary and a continuous variable with the point biserial correlation, How to do it..., See also
- binomial distribution / Determining bias
- Bokeh installation
- reference link / Getting ready
- Bokeh plots
- reference link / See also
- boosting
- used, for better learning / Boosting for better learning, How to do it...
- about / Boosting for better learning
- reference link / See also
- Boot2Docker
- bootstrap aggregating / Bagging to improve results
- Box-Cox transformation
- used, for normalization / Normalizing with the Box-Cox transformation, How to do it..., How it works
- reference link / See also
- box plots
- and kernel density plots, combining with violin plots / Combining box plots and kernel density plots with violin plots, How to do it...
- bright stars
- searching for / Searching for bright stars, How to do it...
- bucketing / Rebinning data
- build options
- BUILD_opencv_python2 / How it works
- BUILD_opencv_python3 / How it works
- BUILD_opencv_java / How it works
- PYTHON3_EXECUTABLE / How it works
- PYTHON3_LIBRARY / How it works
- PYTHON3_INCLUDE_DIR / How it works
- PYTHON3_NUMPY_INCLUDE_DIRS / How it works
- PYTHON3_PACKAGES_PATH / How it works
- BUILD_opencv_xfeatures2d / How it works
- OPENCV_EXTRA_MODULES_PATH / How it works
C
- Cache algorithms
- reference link / See also
- Calmar ratio
- stocks, ranking with / Ranking stocks with the Calmar and Sortino ratios, How to do it...
- about / Ranking stocks with the Calmar and Sortino ratios
- reference link / See also
- Capital Asset Pricing Model (CAPM)
- about / Exploring risk and return
- reference link / See also
- cascade classifier
- reference link / Detecting faces with Haar cascades
- categorized corpus
- creating / Creating a categorized corpus, How to do it...
- CategorizedPlaintextCorpusReader
- reference link / See also
- centrality / Calculating social network closeness centrality
- central tendency, of noisy data
- measuring / Measuring central tendency of noisy data, How to do it...
- cepstrum
- about / Analyzing the frequency spectrum of audio
- reference link / See also
- chebyfit() function
- reference link / See also
- clip() function
- reference link / See also
- clique
- reference link / See also
- clique;about / Getting the clique number of a graph
- clique number, graph
- obtaining / Getting the clique number of a graph, Getting ready
- closeness centrality
- about / Calculating social network closeness centrality
- reference link / See also
- clustering coefficient
- about / Estimating the average clustering coefficient
- reference link / See also
- co-occurrence matrix
- about / Extracting texture features from images
- reference link / See also
- code style
- standardizing / Standardizing reports, code style, and data access, How to do it...
- Cohen's kappa
- about / Computing precision, recall, and F1-score
- examining / Examining the kappa of classification, How to do it..., How it works
- reference link / See also
- ColorBrewer tool
- reference link / How to do it...
- color quantization
- reference link / See also
- color quantization;about / Quantizing colors
- colors
- quantizing / Quantizing colors, How to do it...
- command-line history
- reference link / Command-line history
- about / Command-line history
- command-line tools / Command-line tools
- common tab separated values (TSV) / Displaying geographical maps
- community package
- reference link / Getting ready
- complete graph
- about / Getting the clique number of a graph
- reference link / See also
- concurrent.futures module
- used, for launching multiple tasks / Launching multiple tasks with the concurrent.futures module, How to do it...
- reference link / See also
- conda
- about / Setting up Anaconda
- confidence intervals
- of mean, determining / Determining confidence intervals for mean, variance, and standard deviation, How to do it...
- of variance, determining / Determining confidence intervals for mean, variance, and standard deviation, How to do it...
- of standard deviation, determining / Determining confidence intervals for mean, variance, and standard deviation, How to do it...
- reference link / See also
- confusion matrix
- used, for summarizing results of classification / Getting classification straight with the confusion matrix, How to do it...
- about / Getting classification straight with the confusion matrix
- reference link / See also
- confusion_matrix() function
- reference link / See also
- consensus set / Fitting noisy data with the RANSAC algorithm
- contingency table
- about / Evaluating relations between variables with ANOVA
- reference link / See also
- continuous variable
- correlating, with point biserial correlation / Correlating a binary and a continuous variable with the point biserial correlation, How to do it..., See also
- continuumio/miniconda3 image
- URL / How it works...
- coroutines
- about / Accessing resources asynchronously with the asyncio module
- reference link / See also
- corpora
- download link / Introduction
- correlate() function
- reference link / See also
- correlation coefficient
- cosine similarity
- about / Creating a document graph with cosine similarity
- reference link / See also
- cosine_similarity() function
- reference link / See also
- Count-min sketch
- used, for streaming counting / Streaming counting with the Count-min sketch, How to do it...
- reference link / See also
- cross-correlation
- about / Measuring phase synchronization, See also
- cross-validation
- nesting / Nesting cross-validation, How to do it..., See also
- reference link / See also
- custom magics
- URL / See also
D
- d3.js
- used for visualizing via mpld3 / Visualizing with d3.js via mpld3, How to do it...
- data
- fitting, to exponential distribution / Fitting data to the exponential distribution, How to do it..., How it works…, See also
- winsorizing / Winsorizing data, How to do it...
- winsorizing, reference link / See also
- transforming, with power ladder / Transforming data with the power ladder, How to do it...
- transforming, with logarithms / Transforming data with logarithms, How to do it...
- rebinning / Rebinning data, How to do it...
- clustering, with Spark / Clustering data with Spark, How to do it…, How it works…
- clustering hierarchically / Hierarchically clustering data, How to do it...
- data access
- standardizing / Standardizing reports, code style, and data access, How to do it...
- data analysis / Introduction
- database indices
- reference link / See also
- database migration scripts
- setting up / Setting up database migration scripts, How to do it…
- data points
- highlighting, with influence plots / Highlighting data points with influence plots, How to do it...
- Data Science Toolbox (DST)
- about / Installing the Data Science Toolbox
- installing / Installing the Data Science Toolbox, How to do it..., How it works...
- decision tree learning / Learning with random forests
- degree / Calculating the assortativity coefficient of a graph
- degree distribution
- about / Calculating the assortativity coefficient of a graph
- reference link / See also
- degree_assortativity_coefficient() function
- reference link / See also
- density() function
- reference link / See also
- detail coefficients / Applying the discrete wavelet transform
- determinants
- about / Detecting features with SURF
- reference link / See also
- DFFITS
- reference link / See also
- dilation
- about / Extracting patches from an image
- reference link / See also
- dimension tables
- star schema, implementing / Implementing a star schema with fact and dimension tables, How to do it…
- discrete cosine transform (DCT)
- about / Introduction
- used, for analyzing signals / Analyzing signals with the discrete cosine transform, How to do it...
- reference link / See also
- discrete wavelet transform (DVT)
- applying / Applying the discrete wavelet transform, How to do it...
- reference link / See also
- distance
- reference link / See also
- distributed processing
- execnet, using / Distributed processing with execnet, How to do it...
- Docker
- URL / Getting ready
- URL, for user guide / See also
- docker-clean script
- reference link / Docker tips
- Docker images
- Python applications, sandboxing / Sandboxing Python applications with Docker images, How to do it...
- docker tips
- about / Docker tips
- document graph, with cosine similarity
- dummy classifier
- strategies / Comparing results with a dummy classifier
- comparing with / Comparing results with a dummy classifier, How to do it...
- DummyClassifier class
- reference link / See also
- dummy regressor
- strategies / Comparing with a dummy regressor
- comparing with / Comparing with a dummy regressor, How to do it...
- DummyRegressor class
- reference link / See also
- Duncan dataset
- reference link / Transforming data with the power ladder
E
- ECDF class
- reference link / See also
- efficient-market hypothesis (EMH)
- about / Examining the market with the non-parametric runs test
- reference link / See also
- ensemble learning / Introduction, Stacking and majority voting for multiple models
- equal weights 2 asset portfolio
- execnet
- used, for distributed processing / Distributed processing with execnet, How to do it...
- reference link / See also
- EXIF
- reference link / See also
- ExifRead
- reference link / See also
- exponential distribution
- data, fitting into / Fitting data to the exponential distribution, How to do it..., How it works…, See also
- reference link / See also
- exponential smoothing
- about / Exponential smoothing, How to do it...
- smoothing factor / Exponential smoothing
- reference link / See also
- extra trees (extremely randomized trees / Reusing models with joblib
- extreme values
- exploring / Exploring extreme values, How to do it...
F
- F1-score
- computing / Computing precision, recall, and F1-score, How to do it...
- f1_score() function
- reference link / See also
- face detection
- about / Detecting faces with Haar cascades
- reference link / See also
- fact
- star schema, implementing / Implementing a star schema with fact and dimension tables, How to do it…
- false positive rate (FPR) / Examining a receiver operating characteristic and the area under a curve
- Fano factor
- about / Estimating power spectral density with the Welch method
- reference link / See also
- fastcache
- reference link / See also
- fast Fourier Transform / Introduction
- fastNlMeansDenoisingColored() function
- reference link / See also
- fat tailed distribution
- reference link / Analyzing returns statistics
- features
- recursively eliminating / Recursively eliminating features, How to do it...
- filtering
- findroot() function
- reference link / See also
- Fisher transformation / Correlating variables with Pearson's correlation
- fourier() function
- reference link / See also
- frequency spectrum / Spectral analysis with periodograms
- frequency spectrum, of audio
- analyzing / Analyzing the frequency spectrum of audio, How to do it...
- frequentist approach / Determining bias
- functools.lru_cache
- reference link / See also
G
- gamma distribution
- about / Fitting data to the exponential distribution
- aggregated data, fitting / Fitting aggregated data to the gamma distribution, How to do it..., See also
- reference link / See also
- for SciPy documentation, reference link / See also
- generalized extreme value distribution (GEV)
- about / Exploring extreme values
- reference link / See also
- genetic algorithms / There's more…
- genetic programming / There's more…
- geographical maps
- displaying / Displaying geographical maps, How to do it...
- reference link / Displaying geographical maps
- ggplot2
- about / Using ggplot2-like plots
- reference link / Getting ready
- ggplot2-like plots
- using / Using ggplot2-like plots, Getting ready, How to do it...
- reference link / Using ggplot2-like plots
- Global Interpreter Lock (GIL) / Just-in-time compiling with Numba
- goodness of fit
- visualizing / Visualizing the goodness of fit, How to do it...
- GPU
- harnessing, with Open Computing Language (OpenCL) / Harnessing the power of the GPU with OpenCL, How to do it..., See also
- gradient descent
- about / Taking a Theano tour
- reference link / See also
- graphs
- reference link / See also
- graph_clique_number() function
- reference link / See also
- Gross Domestic Product (GDP) / Displaying geographical maps, Transforming data with logarithms
H
- Haar cascades
- used, for detecting faces / Detecting faces with Haar cascades, How to do it...
- Haar feature-based cascade classifiers system / Detecting faces with Haar cascades
- Haar wavelet / Applying the discrete wavelet transform
- Hadoop Distributed File System (HDFS)
- using / Using HDFS, How to do it…
- URL / See also
- Haralick texture features
- reference link / Extracting texture features from images
- Haralick texture features;about / Extracting texture features from images
- hat-matrix / Highlighting data points with influence plots
- heat dissipation / Introduction
- heatmaps
- creating / Creating heatmaps, How to do it...
- Hertzsprung-Russell diagram
- about / Clipping and filtering outliers
- reference link / See also
- Hessian matrix
- about / Detecting features with SURF
- reference link / See also
- hierarchical clustering
- about / Hierarchically clustering data
- reference link / See also, See also
- applying, on images / Applying hierarchical clustering on images, How to do it...
- hiveplot package
- reference link / Getting ready
- hive plots
- about / Visualizing network graphs with hive plots
- used, for visualizing network graphs / Visualizing network graphs with hive plots, How to do it...
- HSL and HSV
- reference link / See also
- HTML entities
- dealing with / Dealing with non-ASCII text and HTML entities, How to do it…, See also
- HTTP requests
- caching / Caching HTTP requests, How to do it...
- reference link / See also
- Hurst exponent
- about / Applying the discrete wavelet transform
- reference link / See also
- hyperparameter optimization
- about / Introduction
- reference link / See also
I
- image
- denoising / Denoising images, How to do it...
- patches, extracting from / Extracting patches from an image, Getting ready, How to do it...
- metadata, extracting from / Extracting metadata from images, How to do it...
- texture features, extracting from / Extracting texture features from images, How to do it..., See also
- hierarchical clustering, applying / Applying hierarchical clustering on images, How to do it...
- segmenting, with spectral clustering / Segmenting images with spectral clustering, How to do it...
- image processing / Introduction
- image segmentation
- about / Extracting patches from an image
- reference link / See also
- image texture
- reference link / See also
- indices
- adding, after table creation / Adding indices after table creation, How to do it…
- individual stocks
- correlating, with broader market / Correlating individual stocks with the broader market, How to do it...
- influence plots
- used, for highlighting data points / Highlighting data points with influence plots, How to do it..., See also
- instantaneous phase
- about / Measuring phase synchronization
- reference link / See also
- integral image
- about / Detecting features with SURF
- reference link / See also
- interquartile mean (IQM) / Measuring central tendency of noisy data
- inverse document frequency / Stemming, lemmatizing, filtering, and TF-IDF scores
- IPython
- URL / Getting ready
- reference link / See also, See also
- configuring / Configuring IPython, How to do it...
- about / IPython
- IPython Notebook
- about / Keeping track of package versions and history in IPython Notebook
- used, for tracking package versions / Keeping track of package versions and history in IPython Notebook, How to do it..., How it works...
- used, for tracking package history / Keeping track of package versions and history in IPython Notebook, How to do it..., How it works...
- IPython notebooks / IPython notebooks
- IPython notebooks and open data
- reference links / IPython notebooks and open data
- IPython notebook widgets
- interacting with / Interacting with IPython Notebook widgets, How to do it...
- reference link / See also
J
- jackknife resampling
- reference link / See also
- jackknifing / Determining confidence intervals for mean, variance, and standard deviation
- Java Runtime Environment (JRE)
- about / Using HDFS
- joblib
- installation link / Getting ready
- used, for reusing models / Reusing models with joblib, How to do it...
- Just in time compiling
- Numba, using / Just-in-time compiling with Numba, How to do it..., How it works
K
- K-means clustering
- reference link / See also
- kernel density
- estimating / Estimating kernel density, How to do it...
- estimating, reference link / See also
- kernel density plots
- and box plots, combining with violin plots / How to do it...
- kernels / Harnessing the power of the GPU with OpenCL
- kmeans() function
- reference link / See also
- kurtosis
L
- LDA
- reference link / See also
- learning curves / Introduction
- least recently used (LRU) cache
- used, for caching / Caching with a least recently used cache, How to do it...
- leaves / Learning with random forests
- lemmatization
- about / Stemming, lemmatizing, filtering, and TF-IDF scores, How to do it..., How it works
- reference link / See also
- leverage / Highlighting data points with influence plots
- linear algebra
- arbitrary precision, using for / Using arbitrary precision for linear algebra, How to do it...
- linear discriminant analysis (LDA)
- applying, for dimension reduction / Applying linear discriminant analysis for dimension reduction, See also
- linkage() function
- reference link / See also
- liquidity
- stocks, ranking with / Ranking stocks with the Sharpe ratio and liquidity, How to do it...
- LiveStats
- reference link / See also
- lmplot() function
- reference link / See also
- logarithms
- used, for transforming data / Transforming data with logarithms, How to do it...
- logging
- for robust error checking / Learning to log for robust error checking, How to do it...
- reference link / See also
- logit() function
- applying, for transforming proportions / Applying logit() to transform proportions, How to do it...
- Lomb-Scargle periodogram
- about / Using the Lomb-Scargle periodogram
- using / Using the Lomb-Scargle periodogram, How to do it...
- reference link / See also
- lombscargle() function
- reference link / See also
- lu_solve() function
- reference link / See also
- lxml documentation
- URL / See also
M
- main sequence / Clipping and filtering outliers
- mathematics and statistics
- reference links / Mathematics and statistics
- matplotlib
- configuring / Configuring matplotlib, How to do it..., How it works...
- URL / Getting ready
- references / See also
- Matplotlib
- about / Matplotlib
- matplotlib color maps
- selecting / Choosing matplotlib color maps, How to do it...
- reference link / Choosing matplotlib color maps, See also
- matrix of scatterplots
- viewing / Viewing a matrix of scatterplots, How to do it...
- Matthews correlation coefficient (MCC)
- matthews_corrcoef() function
- reference link / See also
- maximum clique / Getting the clique number of a graph
- maximum drawdown / Ranking stocks with the Calmar and Sortino ratios
- maximum likelihood estimation (MLE) method / How to do it...
- mean
- mean absolute deviation (MAD) / How it works…
- mean absolute error (MeanAE)
- calculating / Calculating the mean absolute error and the residual sum of squares, How to do it...
- reference link / See also
- Mean Absolute Percentage Error (MAPE)
- determining / Determining MAPE and MPE, How to do it...
- reference link / See also
- Mean Percentage Error (MPE)
- determining / Determining MAPE and MPE, How to do it...
- reference link / See also
- mean silhouette coefficient
- used, for evaluating clusters / Evaluating clusters with the mean silhouette coefficient, How to do it...
- Mean Squared Error (MSE) / Exponential smoothing
- mean squared error (MSE)
- computing / Computing MSE and median absolute error, How to do it...
- reference link / See also
- mean_absolute_error() function
- reference link / See also
- mean_squared_error() function
- reference link / See also
- medfilt() documentation
- reference link / See also
- median absolute error (MedAE)
- computing / Computing MSE and median absolute error, How to do it...
- median_absolute_error() function
- reference link / See also
- mel frequency spectrum
- mel scale
- about / Analyzing the frequency spectrum of audio
- reference link / See also, See also
- Memory class
- reference link / See also
- memory leaks / Profiling memory usage
- memory usage
- profiling, with memory_profiler module / Profiling memory usage, How to do it...
- memory_profiler module
- used, for profiling memory usage / Profiling memory usage, How to do it...
- reference link / See also
- metadata
- extracting, from images / Extracting metadata from images, How to do it...
- Miniconda
- about / Setting up Anaconda
- models
- reusing, with joblib / Reusing models with joblib, How to do it...
- Modern Portfolio Theory (MPT)
- reference link / See also
- Modern Portfolio Theory (MPT);about / Optimizing an equal weights two-asset portfolio
- Monte Carlo method
- about / Sampling with probability weights
- reference link / See also
- moving block bootstrapping time series data
- about / Moving block bootstrapping time series data, How to do it...
- reference link / See also
- mpld3
- d3.js, used for visualization via / Visualizing with d3.js via mpld3, How to do it...
- mpmath / Introduction
- multiple models
- stacking / Stacking and majority voting for multiple models, How to do it...
- majority voting / Stacking and majority voting for multiple models, How to do it...
- multiple tasks
- launching, with concurrent.futures module / Launching multiple tasks with the concurrent.futures module, How to do it...
- multiple threads
- running, with threading module / Running multiple threads with the threading module, How to do it...
N
- n-grams / Stemming, lemmatizing, filtering, and TF-IDF scores
- named-entity recognition (NER)
- about / Recognizing named entities
- reference link / Recognizing named entities, See also
- named entities
- recognizing / Recognizing named entities, How to do it..., How it works
- nested cross-validation / Nesting cross-validation
- network graphs
- visualizing, with hive plots / Visualizing network graphs with hive plots, How to do it...
- NetworkX
- reference link / Getting ready
- news articles
- tokenizing, in sentences / Tokenizing news articles in sentences and words
- tokenizing, in words / Tokenizing news articles in sentences and words, See also
- noisy data
- central tendency, measuring / Measuring central tendency of noisy data, How to do it...
- non-ASCII text
- dealing with / Dealing with non-ASCII text and HTML entities, How to do it…, See also
- non-negative matrix factorization (NMF)
- used, for extraction of topics / Extracting topics with non-negative matrix factorization, How it works
- documentation link / See also
- reference link / See also
- non-parametric runs test
- used, for examining market / Examining the market with the non-parametric runs test, How to do it...
- Numba
- used, for Just in time compiling / Just-in-time compiling with Numba, How to do it..., See also
- numerical expressions
- speeding up, with Numexpr / Speeding up numerical expressions with Numexpr, How it works
- Numexpr
- used, for speeding up numerical expressions / Speeding up numerical expressions with Numexpr, How it works
- reference link / See also
- NumPy
- URL / Getting ready
- about / NumPy
- NumPy print options
O
- object-relational mapping (ORM)
- about / Introduction
- object detection
- octave / Applying Scale-Invariant Feature Transform (SIFT)
- Open Computing Language (OpenCL)
- used, for harnessing GPU / Harnessing the power of the GPU with OpenCL, How to do it...
- OpenCV
- setting up / Setting up OpenCV, How to do it..., There's more
- reference link / Getting ready
- Ostu's thresholding method
- about / Extracting patches from an image
- reference link / See also
- outliers
- about / Introduction
- clipping / Clipping and filtering outliers, How to do it...
- filtering / Clipping and filtering outliers, How to do it...
- reference link / Clipping and filtering outliers
P
- pandas
- configuring / Configuring pandas, How to do it...
- URL / Getting ready
- about / pandas
- pandas library
- URL / Configuring pandas
- about / Configuring pandas
- PCA class
- reference link / See also
- pdist() function
- reference link / See also
- peaks
- analyzing / Analyzing peaks, How to do it...
- Pearson's correlation
- used, for correlating variables / Correlating variables with Pearson's correlation, How to do it..., See also
- reference link / See also
- pep8 analyzer
- periodogram() function
- reference link / See also
- periodograms
- used, for performing spectral analysis / Spectral analysis with periodograms, How to do it...
- pesentations
- reference links / Presentations
- phase synchronization
- measuring / Measuring phase synchronization, How to do it...
- point biserial correlation
- used, for correlating continuous variable / Correlating a binary and a continuous variable with the point biserial correlation, How to do it...
- used, for correlating binary variable / Correlating a binary and a continuous variable with the point biserial correlation, How to do it...
- reference link / See also
- Poisson distribution
- aggregated counts, fitting / Fitting aggregated counts to the Poisson distribution, How to do it...
- reference link / See also
- posterior distribution / Determining bias
- power ladder
- used, for transforming data / Transforming data with the power ladder, How to do it...
- power spectral density
- estimating, with Welch's method / Estimating power spectral density with the Welch method, How to do it..., See also
- precision
- computing / Computing precision, recall, and F1-score, How to do it...
- reference link / See also
- precision_score() function
- reference link / See also
- principal component analysis (PCA)
- applying, for dimension reduction / Applying principal component analysis for dimension reduction
- reference link / See also
- principal component regression (PCR)
- about / Applying principal component analysis for dimension reduction
- reference link / See also
- principal components / Applying principal component analysis for dimension reduction
- prior distribution / Determining bias
- probability weights
- used, for sampling / Sampling with probability weights, How to do it..., See also
- probplot() function
- reference link / See also
- Proj.4
- reference link / Getting ready
- proportions
- transforming, by applying logit() function / Applying logit() to transform proportions, How to do it...
- PyOpenCL
- reference link / See also
- PyOpenCL 2015.2.3
- reference link / Getting ready
- Python applications
- sandboxing, with Docker images / Sandboxing Python applications with Docker images, How to do it...
- Python threading
- reference link / See also
R
- R
- homepage link / Getting ready
- RandomForestClassifier class
- reference link / See also
- random forests
- used, for learning / Learning with random forests, How to do it..., There's more…
- about / Learning with random forests
- reference link / There's more…, See also, See also
- random number generators
- random walk hypothesis (RWH)
- about / Testing for random walks
- random walks
- testing for / Testing for random walks, How to do it...
- reference link / See also
- RANSAC algorithm
- used, for fitting noisy data / Fitting noisy data with the RANSAC algorithm, How to do it...
- reference link / See also
- recall
- computing / Computing precision, recall, and F1-score, How to do it...
- reference link / See also
- recall_score() function
- reference link / See also
- receiver operating characteristic (ROC)
- examining / Examining a receiver operating characteristic and the area under a curve, How to do it...
- reference link / See also
- reports
- standardizing / Standardizing reports, code style, and data access, How to do it...
- reproducible data analysis
- about / Introduction
- reproducible sessions
- about / Reproducible sessions
- requests-cache website
- reference link / See also
- rescaled range / Applying the discrete wavelet transform
- reference link / See also
- residual sum of squares (RSS)
- calculating / Calculating the mean absolute error and the residual sum of squares, How to do it...
- reference link / See also
- Resilient Distributed Datasets (RDDs)
- about / Setting up Spark
- resources
- accessing asynchronously, with asyncio module / Accessing resources asynchronously with the asyncio module, How to do it...
- returns / Computing simple and log returns
- returns statistics
- analyzing / Analyzing returns statistics, How to do it...
- RFE class
- reference link / See also
- RGB (red, green and blue) / Quantizing colors
- risk-free rate / Exploring risk and return
- risk and return
- exploring / Exploring risk and return
- robust error checking
- with logs / Learning to log for robust error checking, How to do it...
- robust linear model
- fitting / Fitting a robust linear model, How to do it...
- robust regression / Fitting a robust linear model
- roc_auc_score() function
- reference link / See also
S
- savgol_filter() function
- reference link / See also
- Savitzky-Golay filter
- about / Evaluating smoothing
- reference link / See also
- Scale-invariant Feature Transform (SIFT)
- about / Applying Scale-Invariant Feature Transform (SIFT)
- applying / Applying Scale-Invariant Feature Transform (SIFT), How to do it...
- reference link / See also
- documentation, reference link / See also
- scikit-learn / Using ggplot2-like plots
- URL / Getting ready, See also
- about / Scikit-learn
- scikit-learn documentation
- SciPy
- about / SciPy
- SciPy documentation
- seaborn
- about / Seaborn
- seaborn color palettes
- about / Choosing seaborn color palettes, How to do it...
- selecting / How to do it...
- reference link / See also
- search engine indexing
- reference link / See also
- security market line (SML) / Exploring risk and return
- Selenium
- using / Simulating web browsing
- URL / See also
- shapefile format / Displaying geographical maps
- shared nothing architecture
- about / Distributed processing with execnet
- reference link / See also
- Sharpe ratio
- about / Ranking stocks with the Sharpe ratio and liquidity
- stocks, ranking with / Ranking stocks with the Sharpe ratio and liquidity, How to do it...
- reference link / See also
- short-time Fourier transform (STFT) / Analyzing the frequency spectrum of audio
- signals
- analyzing, with discrete cosine transform (DCT) / Analyzing signals with the discrete cosine transform, How to do it...
- silhouette coefficients
- about / Evaluating clusters with the mean silhouette coefficient
- reference link / See also
- silhouette_score() function
- reference link / See also
- simple and log returns
- computing / Computing simple and log returns, How to do it...
- reference link / See also
- skewness
- smoothing
- evaluating / Evaluating smoothing, How to do it...
- social network closeness centrality
- calculating / Calculating social network closeness centrality, How to do it...
- social network density
- computing / Computing social network density, See also
- software aspects / Introduction
- software performance
- improving / Introduction
- Solving a Problem in the Doctrine of Chances essay
- reference link / See also
- Sortino ratio
- stocks, ranking with / Ranking stocks with the Calmar and Sortino ratios, How to do it...
- about / Ranking stocks with the Calmar and Sortino ratios, How to do it...
- reference link / See also
- Spark
- setting up / Setting up Spark, How to do it…
- URL / Getting ready, See also
- data, clustering / Clustering data with Spark, How to do it…, How it works…, See also
- Spearman rank correlation
- used, for correlating variables / Correlating variables with the Spearman rank correlation, How to do it...
- reference link / See also
- spectral analysis
- performing, with periodograms / Spectral analysis with periodograms, How to do it...
- reference link / See also
- spectral clustering
- used, for segmenting images / Segmenting images with spectral clustering, How to do it...
- reference link / See also
- spectral_clustering() function
- reference link / See also
- Speeded Up Robust Features (SURF)
- detecting / Detecting features with SURF, How to do it...
- reference link / See also
- split() function
- reference link / See also
- SQLAlchemy
- reference link / Implementing a star schema with fact and dimension tables
- square root of the MSE (RMSE) / Computing MSE and median absolute error
- stacking
- about / Stacking and majority voting for multiple models
- reference link / See also
- Stanford Network Analysis Project (SNAP)
- about / Visualizing network graphs with hive plots
- reference link / Visualizing network graphs with hive plots
- star schema
- about / Implementing a star schema with fact and dimension tables
- implementing, with fact / Implementing a star schema with fact and dimension tables, How to do it…
- implementing, with dimension tables / Implementing a star schema with fact and dimension tables, How to do it…
- URL / See also
- statsmodels
- about / Statsmodels
- statsmodels documentation
- stemming
- STFT
- reference link / See also
- stock prices database
- tables, creating for / Creating tables for a stock prices database, How to do it...
- populating / Populating the stock prices database, How to do it...
- stop words
- reference link / See also
- streaming algorithms / Streaming counting with the Count-min sketch
- SURF
- documentation, reference link / See also
T
- table column
- adding, to existing table / Adding a table column to an existing table, How to do it…
- tables
- creating, for stock prices database / Creating tables for a stock prices database, How to do it...
- tabulate PyPi
- URL / See also
- term frequency / Stemming, lemmatizing, filtering, and TF-IDF scores
- test web server
- setting up / Setting up a test web server, How to do it…
- texture features
- extracting, from images / Extracting texture features from images, Getting ready, How to do it..., See also
- TF-IDF
- reference link / See also
- TF-IDF scores
- TfidfVectorizer class
- reference link / See also
- Theano
- about / Taking a Theano tour, How to do it...
- installing / Getting ready
- documentation link / See also
- threading module
- used, for running multiple threads / Running multiple threads with the threading module, How to do it...
- time series data
- block bootstrapping / Block bootstrapping time series data, How to do it...
- block bootstrapping, reference link / See also
- time slicing / Running multiple threads with the threading module
- tmean()
- reference link / See also
- topic models
- reference link / See also
- topic models;about / Extracting topics with non-negative matrix factorization
- trend smoothing factor / Exponential smoothing
- trima()
- reference link / See also
- trimean / Measuring central tendency of noisy data
- trimmed mean / Measuring central tendency of noisy data
- truncated mean / Measuring central tendency of noisy data
- two-way ANOVA
- reference link / See also
U
- unigrams / Stemming, lemmatizing, filtering, and TF-IDF scores
- unittest.mock library
- URL / See also
- unit testing
- about / Unit testing your code
- performing / Unit testing your code, How to do it..., How it works...
- unittest library
- URL / See also
V
- Vagrant
- about / Installing the Data Science Toolbox
- URL / How to do it...
- reference link / How it works...
- validation
- about / Nesting cross-validation
- validation curves / Introduction
- variables
- correlating, with Pearson's correlation / Correlating variables with Pearson's correlation, How to do it...
- correlating, with Spearman rank correlation / Correlating variables with the Spearman rank correlation, How to do it...
- relations evaluating, with ANOVA / Evaluating relations between variables with ANOVA, How to do it...
- variance
- calculating / Calculating the mean, variance, skewness, and kurtosis on the fly, How to do it...
- reference link / See also
- Viola-Jones object detection framework
- about / Detecting faces with Haar cascades
- reference link / See also
- violin plots
- about / Combining box plots and kernel density plots with violin plots
- box plots and kernel density plots, combining with / Combining box plots and kernel density plots with violin plots, How to do it...
- reference link / See also
- VirtualBox
- virtualenv
- virtual environment, creating with / Creating a virtual environment with virtualenv and virtualenvwrapper, Getting ready, How to do it...
- virtual environment
- creating, with virtualenv / Creating a virtual environment with virtualenv and virtualenvwrapper, Getting ready, How to do it...
- creating, with virtualenvwrapper / Creating a virtual environment with virtualenv and virtualenvwrapper, Getting ready, See also
- URL / See also
- virtualenvwrapper
- virtual environment, creating with / Creating a virtual environment with virtualenv and virtualenvwrapper, How to do it..., See also
- URL / See also
- VotingClassifier class
- reference link / See also
W
- Wald-Wolfowitz runs test
- about / Examining the market with the non-parametric runs test
- reference link / See also
- watermark extension
- using / How to do it...
- weak learners / Boosting for better learning
- web
- scraping / Scraping the Web, How to do it…
- web browsing
- simulating / Simulating web browsing, How to do it…, See also
- weighted least squares
- about / Taking variance into account with weighted least squares
- used, for taking variance into account / Taking variance into account with weighted least squares, How to do it...
- Welch's method
- used, for estimating power spectral density / Estimating power spectral density with the Welch method, How to do it..., See also
- reference link / See also
- welch() function
- reference link / See also
- winsorizing technique / Winsorizing data, How to do it...
- Within Cluster Sum of Squares (WCSS)
- about / Clustering data with Spark
- Within Set Sum Squared Error (WSSSE)
- about / Clustering data with Spark
- WordNetLemmatizer class
- reference link / See also
X
- XPath
- URL / See also
Y
- YAML
- about / There's more...
- URL / There's more...