- Mastering pandas
- Table of Contents
- Mastering pandas
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Introduction to pandas and Data Analysis
- 2. Installation of pandas and the Supporting Software
- 3. The pandas Data Structures
- 4. Operations in pandas, Part I – Indexing and Selecting
- 5. Operations in pandas, Part II – Grouping, Merging, and Reshaping of Data
- 6. Missing Data, Time Series, and Plotting Using Matplotlib
- 7. A Tour of Statistics – The Classical Approach
- 8. A Brief Tour of Bayesian Statistics
- Introduction to Bayesian statistics
- Mathematical framework for Bayesian statistics
- Probability distributions
- Bayesian statistics versus Frequentist statistics
- Conducting Bayesian statistical analysis
- Monte Carlo estimation of the likelihood function and PyMC
- References
- Summary
- 9. The pandas Library Architecture
- 10. R and pandas Compared
- 11. Brief Tour of Machine Learning
- Role of pandas in machine learning
- Installation of scikit-learn
- Introduction to machine learning
- Application of machine learning – Kaggle Titanic competition
- Data analysis and preprocessing using pandas
- A naïve approach to Titanic problem
- The scikit-learn ML/classifier interface
- Supervised learning algorithms
- Unsupervised learning algorithms
- Summary
- Index
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.
Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: " Upon installation, the following folders should be added to the PATH environment variable: C:Python27 and C:Python27ToolsScripts."
Any command-line input or output is written as follows:
brew install readline brew install zeromq pip install ipython pyzmq tornado pygments
New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "The preceding image of PYMC pandas Example is taken from http://healthyalgorithms.files.wordpress.com/2012/01/pymc-pandas-example.png."
-
No Comment