|Allen Downey is a Professor of Computer Science at Olin College and author of Think Python, Think Stats, Think Bayes, and Think Complexity, published by O’Reilly Media and available under a Creative Commons license from greenteapress.com|
He holds B.S. and M.S. degrees from MIT and a Ph.D. in Computer Science from U.C. Berkeley. He has previously taught at Colby College and Wellesley College, and was a Visiting Scientist at Google, Inc.
|Regression is a powerful tool for fitting data and making predictions. In this talk I present the basics of linear regression and logistic regression and show how to use them in Python. I demonstrate pandas, a Python module that provides structures for data analysis, and StatsModels, a module that provides tools for regression and other statistical analysis.|
As an example, I will use data from the National Survey of Family Growth to generate predictions for the date of birth, weight, and sex of an expected baby. This presentation is based on material from the recent revision of Think Stats, an introduction to data analysis and statistics with Python.
This talk is appropriate for people with no prior experience with regression. Basic familiarity with Python is recommended but not required.
Sun 10:00 - 11:00