Python Machine Learning Cookbook（Second Edition）
Giuseppe Ciaburro Prateek Joshi更新时间：2021-06-24 15:43:05
最新章节：Leave a review - let other readers know what you thinkcoverpage
Title Page
Copyright and Credits
Python Machine Learning Cookbook Second Edition
About Packt
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Packt.com
Contributors
About the author
About the reviewer
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Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example code files
Download the color images
Conventions used
Sections
Getting ready
How to do it…
How it works…
There's more…
See also
Get in touch
Reviews
The Realm of Supervised Learning
Technical requirements
Introduction
Array creation in Python
Getting ready
How to do it…
How it works…
There's more...
See also
Data preprocessing using mean removal
Getting ready
How to do it...
How it works...
There's more...
See also
Data scaling
Getting ready
How to do it...
How it works...
There's more...
See also
Normalization
Getting ready
How to do it...
How it works...
There's more...
See also
Binarization
Getting ready
How to do it...
How it works...
There's more...
See also
One-hot encoding
Getting ready
How to do it...
How it works...
There's more...
See also
Label encoding
Getting ready
How to do it…
How it works...
There's more...
See also
Building a linear regressor
Getting ready
How to do it…
How it works...
There's more...
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Computing regression accuracy
Getting ready
How to do it…
How it works...
There's more...
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Achieving model persistence
Getting ready
How to do it…
How it works...
There's more...
See also
Building a ridge regressor
Getting ready
How to do it…
How it works...
See also
Building a polynomial regressor
Getting ready
How to do it…
How it works...
There's more...
See also
Estimating housing prices
Getting ready
How to do it…
How it works...
There's more...
See also
Computing the relative importance of features
Getting ready
How to do it…
How it works...
There's more...
See also
Estimating bicycle demand distribution
Getting ready
How to do it…
How it works...
There's more…
See also
Constructing a Classifier
Technical requirements
Introduction
Building a simple classifier
Getting ready
How to do it…
How it works...
There's more…
See also
Building a logistic regression classifier
Getting ready
How to do it…
How it works...
There's more...
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Building a Naive Bayes classifier
Getting ready
How to do it…
How it works...
There's more...
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Splitting a dataset for training and testing
Getting ready
How to do it…
How it works...
There's more...
See also
Evaluating accuracy using cross-validation metrics
Getting ready…
How to do it…
How it works...
There's more...
See also
Visualizing a confusion matrix
Getting ready
How to do it…
How it works...
There's more...
See also
Extracting a performance report
Getting ready
How to do it…
How it works...
There's more...
See also
Evaluating cars based on their characteristics
Getting ready
How to do it…
How it works...
There's more...
See also
Extracting validation curves
Getting ready
How to do it…
How it works...
There's more...
See also
Extracting learning curves
Getting ready
How to do it…
How it works...
There's more...
See also
Estimating the income bracket
Getting ready
How to do it…
How it works...
There's more...
See also
Predicting the quality of wine
Getting ready
How to do it…
How it works...
There's more...
See also
Newsgroup trending topics classification
Getting ready
How to do it…
How it works...
There's more...
See also
Predictive Modeling
Technical requirements
Introduction
Building a linear classifier using SVMs
Getting ready
How to do it...
How it works...
There's more…
See also
Building a nonlinear classifier using SVMs
Getting ready
How to do it...
How it works...
There's more…
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Tackling class imbalance
Getting ready
How to do it...
How it works...
There's more…
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Extracting confidence measurements
Getting ready
How to do it...
How it works...
There's more…
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Finding optimal hyperparameters
Getting ready
How to do it...
How it works...
The grid search algorithm
The randomized search algorithm
The Bayesian optimization algorithm
There's more…
See also
Building an event predictor
Getting ready
How to do it...
How it works...
There's more…
See also
Estimating traffic
Getting ready
How to do it...
How it works...
There's more…
See also
Simplifying machine learning workflow using TensorFlow
Getting ready
How to do it...
How it works...
There's more…
See also
Implementing a stacking method
Getting ready
How to do it...
How it works...
There's more…
See also
Clustering with Unsupervised Learning
Technical requirements
Introduction
Clustering data using the k-means algorithm
Getting ready
How to do it...
How it works...
There's more…
See also
Compressing an image using vector quantization
Getting ready
How to do it...
How it works...
There's more…
See also
Grouping data using agglomerative clustering
Getting ready
How to do it...
How it works...
There's more…
See also
Evaluating the performance of clustering algorithms
Getting ready
How to do it...
How it works...
There's more…
See also
Estimating the number of clusters using the DBSCAN algorithm
Getting ready
How to do it...
How it works...
There's more…
See also
Finding patterns in stock market data
Getting ready
How to do it...
How it works...
There's more…
See also
Building a customer segmentation model
Getting ready
How to do it...
How it works...
There's more…
See also
Using autoencoders to reconstruct handwritten digit images
Getting ready
How to do it...
How it works...
There's more…
See also
Visualizing Data
Technical requirements
An introduction to data visualization
Plotting three-dimensional scatter plots
Getting ready
How to do it...
How it works...
There's more...
See also
Plotting bubble plots
Getting ready
How to do it...
How it works...
There's more...
See also
Animating bubble plots
Getting ready
How to do it...
How it works...
There's more...
See also
Drawing pie charts
Getting ready
How to do it...
How it works...
There's more...
See also
Plotting date-formatted time series data
Getting ready
How to do it...
How it works...
There's more...
See also
Plotting histograms
Getting ready
How to do it...
How it works...
There's more...
See also
Visualizing heat maps
Getting ready
How to do it...
How it works...
There's more...
See also
Animating dynamic signals
Getting ready
How to do it...
How it works...
There's more...
See also
Working with the Seaborn library
Getting ready
How to do it...
How it works...
There's more...
See also
Building Recommendation Engines
Technical requirements
Introducing the recommendation engine
Building function compositions for data processing
Getting ready
How to do it...
How it works...
There's more...
See also
Building machine learning pipelines
Getting ready
How to do it...
How it works...
There's more...
See also
Finding the nearest neighbors
Getting ready
How to do it...
How it works...
There's more...
See also
Constructing a k-nearest neighbors classifier
Getting ready
How to do it...
How it works...
There's more...
See also
Constructing a k-nearest neighbors regressor
Getting ready
How to do it...
How it works...
There's more...
See also
Computing the Euclidean distance score
Getting ready
How to do it...
How it works...
There's more...
See also
Computing the Pearson correlation score
Getting ready
How to do it...
How it works...
There's more...
See also
Finding similar users in the dataset
Getting ready
How to do it...
How it works...
There's more...
See also
Generating movie recommendations
Getting ready
How to do it...
How it works...
There's more...
See also
Implementing ranking algorithms
Getting ready
How to do it...
How it works...
There's more...
See also
Building a filtering model using TensorFlow
Getting ready
How to do it...
How it works...
There's more...
See also
Analyzing Text Data
Technical requirements
Introduction
Preprocessing data using tokenization
Getting ready
How to do it...
How it works...
There's more...
See also
Stemming text data
Getting ready
How to do it...
How it works...
There's more...
See also
Converting text to its base form using lemmatization
Getting ready
How to do it...
How it works...
There's more...
See also
Dividing text using chunking
How to do it...
How it works...
There's more...
See also
Building a bag-of-words model
Getting ready
How to do it...
How it works...
There's more...
See also
Building a text classifier
Getting ready
How to do it...
How it works...
There's more...
See also
Identifying the gender of a name
Getting ready
How to do it...
How it works...
There's more...
See also
Analyzing the sentiment of a sentence
Getting ready
How to do it...
How it works...
There's more...
See also
Identifying patterns in text using topic modeling
Getting ready
How to do it...
How it works...
There's more...
See also
Parts of speech tagging with spaCy
Getting ready
How to do it...
How it works...
There's more...
See also
Word2Vec using gensim
Getting ready
How to do it...
How it works...
There's more...
See also
Shallow learning for spam detection
Getting ready
How to do it...
How it works...
There's more...
See also
Speech Recognition
Technical requirements
Introducing speech recognition
Reading and plotting audio data
Getting ready
How to do it...
How it works...
There's more...
See also
Transforming audio signals into the frequency domain
Getting ready
How to do it...
How it works...
There's more...
See also
Generating audio signals with custom parameters
Getting ready
How to do it...
How it works...
There's more...
See also
Synthesizing music
Getting ready
How to do it...
How it works...
There's more...
See also
Extracting frequency domain features
Getting ready
How to do it...
How it works...
There's more...
See also
Building HMMs
Getting ready
How to do it...
How it works...
There's more...
See also
Building a speech recognizer
Getting ready
How to do it...
How it works...
There's more...
See also
Building a TTS system
Getting ready
How to do it...
How it works...
There's more...
See also
Dissecting Time Series and Sequential Data
Technical requirements
Introducing time series
Transforming data into a time series format
Getting ready
How to do it...
How it works...
There's more…
See also
Slicing time series data
Getting ready
How to do it...
How it works...
There's more…
See also
Operating on time series data
Getting ready
How to do it...
How it works...
There's more…
See also
Extracting statistics from time series data
Getting ready
How to do it...
How it works...
There's more…
See also
Building HMMs for sequential data
Getting ready
How to do it...
How it works...
There's more…
See also
Building CRFs for sequential text data
Getting ready
How to do it...
How it works...
There's more…
See also
Analyzing stock market data
Getting ready
How to do it...
How it works...
There's more…
See also
Using RNNs to predict time series data
Getting ready
How to do it...
How it works...
There's more…
See also
Analyzing Image Content
Technical requirements
Introducing computer vision
Operating on images using OpenCV-Python
Getting ready
How to do it...
How it works...
There's more…
See also
Detecting edges
Getting ready
How to do it...
How it works...
There's more…
See also
Histogram equalization
Getting ready
How to do it...
How it works...
There's more…
See also
Detecting corners
Getting ready
How to do it...
How it works...
There's more…
See also
Detecting SIFT feature points
Getting ready
How to do it...
How it works...
There's more…
See also
Building a Star feature detector
Getting ready
How to do it...
How it works...
There's more…
See also
Creating features using Visual Codebook and vector quantization
Getting ready
How to do it...
How it works...
There's more…
See also
Training an image classifier using Extremely Random Forests
Getting ready
How to do it...
How it works...
There's more…
See also
Building an object recognizer
Getting ready
How to do it...
How it works...
There's more…
See also
Using Light GBM for image classification
Getting ready
How to do it...
How it works...
There's more…
See also
Biometric Face Recognition
Technical requirements
Introduction
Capturing and processing video from a webcam
Getting ready
How to do it...
How it works...
There's more…
See also
Building a face detector using Haar cascades
Getting ready
How to do it...
How it works...
There's more…
See also
Building eye and nose detectors
Getting ready
How to do it...
How it works...
There's more…
See also
Performing principal component analysis
Getting ready
How to do it...
How it works...
There's more…
See also
Performing kernel principal component analysis
Getting ready
How to do it...
How it works...
There's more…
See also
Performing blind source separation
Getting ready
How to do it...
How it works...
There's more…
See also
Building a face recognizer using a local binary patterns histogram
Getting ready
How to do it...
How it works...
There's more…
See also
Recognizing faces using the HOG-based model
Getting ready
How to do it...
How it works...
There's more…
See also
Facial landmark recognition
Getting ready
How to do it...
How it works...
There's more…
See also
User authentication by face recognition
Getting ready
How to do it...
How it works...
There's more…
See also
Reinforcement Learning Techniques
Technical requirements
Introduction
Weather forecasting with MDP
Getting ready
How to do it…
How it works…
There's more…
See also
Optimizing a financial portfolio using DP
Getting ready
How to do it…
How it works…
There's more…
See also
Finding the shortest path
Getting ready
How to do it…
How it works…
There's more…
See also
Deciding the discount factor using Q-learning
Getting ready
How to do it…
How it works…
There's more…
See also
Implementing the deep Q-learning algorithm
Getting ready
How to do it…
How it works…
There's more…
See also
Developing an AI-based dynamic modeling system
Getting ready
How to do it…
How it works…
There's more…
See also
Deep reinforcement learning with double Q-learning
Getting ready
How to do it…
How it works…
There's more…
See also
Deep Q-network algorithm with dueling Q-learning
Getting ready
How to do it…
How it works…
There's more…
See also
Deep Neural Networks
Technical requirements
Introduction
Building a perceptron
Getting ready
How to do it...
How it works...
There's more…
See also
Building a single layer neural network
Getting ready
How to do it...
How it works...
There's more…
See also
Building a deep neural network
Getting ready
How to do it...
How it works...
There's more…
See also
Creating a vector quantizer
Getting ready
How to do it...
How it works...
There's more…
See also
Building a recurrent neural network for sequential data analysis
Getting ready
How to do it...
How it works...
There's more…
See also
Visualizing the characters in an OCR database
Getting ready
How to do it...
How it works...
There's more…
See also
Building an optical character recognizer using neural networks
Getting ready
How to do it...
How it works...
There's more…
See also
Implementing optimization algorithms in ANN
Getting ready
How to do it...
How it works...
There's more…
See also
Unsupervised Representation Learning
Technical requirements
Introduction
Using denoising autoencoders to detect fraudulent transactions
Getting ready
How to do it…
How it works...
There's more…
See also
Generating word embeddings using CBOW and skipgram representations
Getting ready
How to do it…
How it works...
There's more…
See also
Visualizing the MNIST dataset using PCA and t-SNE
Getting ready
How to do it…
How it works...
There's more…
See also
Using word embedding for Twitter sentiment analysis
Getting ready
How to do it…
How it works...
There's more…
See also
Implementing LDA with scikit-learn
Getting ready
How to do it…
How it works...
There's more…
See also
Using LDA to classify text documents
Getting ready
How to do it…
How it works...
There's more…
See also
Preparing data for LDA
Getting ready
How to do it...
How it works...
There's more…
See also
Automated Machine Learning and Transfer Learning
Technical requirements
Introduction
Working with Auto-WEKA
Getting ready
How to do it...
How it works...
There's more…
See also
Using AutoML to generate machine learning pipelines with TPOT
Getting ready
How to do it...
How it works...
There's more…
See also
Working with Auto-Keras
Getting ready
How to do it...
How it works...
There's more…
See also
Working with auto-sklearn
Getting ready
How to do it...
How it works...
There's more…
See also
Using MLBox for selection and leak detection
Getting ready
How to do it...
How it works...
There's more…
See also
Convolutional neural networks with transfer learning
Getting ready
How to do it...
How it works...
There's more…
See also
Transfer learning with pretrained image classifiers using ResNet-50
Getting ready
How to do it...
How it works...
There's more…
See also
Transfer learning using feature extraction with the VGG16 model
Getting ready
How to do it...
How it works...
There's more…
See also
Transfer learning with pretrained GloVe embedding
Getting ready
How to do it...
How it works...
There's more…
Inductive transfer learning
Unsupervised transfer learning
Transductive transfer learning
Instance transfer learning
See also
Unlocking Production Issues
Technical requirements
Introduction
Handling unstructured data
Getting ready
How to do it...
How it works...
There's more…
See also
Deploying machine learning models
Getting ready
How to do it...
How it works...
There's more…
See also
Keeping track of changes into production
How to do it...
How it works...
There's more…
See also
Tracking accuracy to optimize model scaling
How to do it...
How it works...
There's more…
See also
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更新时间：2021-06-24 15:43:05