Data Science from Scratch

Index

A

• A/B test, Example: Running an A/B Test
• accuracy, Correctness
  • of model performance, Correctness
• all function (Python), Truthiness
• Anaconda distribution of Python, Getting Python
• any function (Python), Truthiness
• APIs, using to get data, Using APIs-Using Twython
  • example, using Twitter APIs, Example: Using the Twitter APIs-Using Twython
    • getting credentials, Getting Credentials
    • using twython, Using Twython
  • finding APIs, Finding APIs
  • JSON (and XML), JSON (and XML)
  • unauthenticated API, Using an Unauthenticated API
• args and kwargs (Python), args and kwargs
• argument unpacking, zip and Argument Unpacking
• arithmetic
  • in Python, Arithmetic
  • performing on vectors, Vectors
• artificial neural networks, Neural Networks
  • (see also neural networks)
• assignment, multiple, in Python, Tuples

B

• backpropagation, Backpropagation
• bagging, Random Forests
• bar charts, Bar Charts-Line Charts
• Bayes's Theorem, Bayes’s Theorem, A Really Dumb Spam Filter
• Bayesian Inference, Bayesian Inference
• Beautiful Soup library, HTML and the Parsing Thereof, n-gram Models
  • using with XML data, JSON (and XML)
• Bernoulli trial, Example: Flipping a Coin
• Beta distributions, Bayesian Inference
• betweenness centrality, Betweenness Centrality-Betweenness Centrality
• bias, The Bias-Variance Trade-off
  • additional data and, The Bias-Variance Trade-off
• bigram model, n-gram Models
• binary relationships, representing with matrices, Matrices
• binomial random variables, The Central Limit Theorem, Example: Flipping a Coin
• Bokeh project, Visualization
• booleans (Python), Truthiness ...