Statistical Regression With Python

D16bc1f94b17ddc794c2dfb48ef59456?s=47 Mosky
May 11, 2019

Statistical Regression With Python

There are many variables, e.g., the columns in a database, the questions in a survey, etc. If you have a regression model, you can find the relationships out and even predict the future values.

In this talk, I will introduce the correlation analysis, OLS (ordinary least squares), using R formula (an implementation in Python) to build model, covariance types, outliers, other common models, and the most important thing: how to build and interpret a model correctly.

Moreover, all the topics will be introduced with massive Python examples.

The notebooks are available on .



May 11, 2019