Congratulations

Introduction to Regression with statsmodels in Python

Maarten Van den Broeck

Content Developer at DataCamp

You learned things

Chapter 1

  • Fit a simple linear regression
  • Interpret coefficients

Chapter 2

  • Make predictions
  • Regression to the mean
  • Transforming variables

Chapter 3

  • Quantifying model fit
  • Outlier, leverage, and influence

Chapter 4

  • Fit a simple logistic regression
  • Make predictions
  • Get performance from confusion matrix
Introduction to Regression with statsmodels in Python

Multiple explanatory variables

Intermediate Regression with statsmodels in Python

Introduction to Regression with statsmodels in Python

Unlocking advanced skills

Introduction to Regression with statsmodels in Python

Happy learning!

Introduction to Regression with statsmodels in Python

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