Congratulations!

Intermediate Regression with statsmodels in Python

Maarten Van den Broeck

Content Developer at DataCamp

You learned things

Chapter 1

  • Fit/visualize/predict/assess parallel slopes

Chapter 2

  • Interactions between explanatory variables
  • Simpson's Paradox

Chapter 3

  • Extend to many explanatory variables
  • Implement linear regression algorithm

Chapter 4

  • Logistic regression with multiple explanatory variables
  • Logistic distribution
  • Implement logistic regression algorithm
Intermediate Regression with statsmodels in Python

There is more to learn

  • Training and testing sets
  • Cross validation
  • P-values and significance
Intermediate Regression with statsmodels in Python

Advanced regression

Intermediate Regression with statsmodels in Python

Have fun regressing!

Intermediate Regression with statsmodels in Python

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