Some important tuning parameters for LogisticRegression:
C: inverse of regularization strength
penalty: type of regularization
solver: algorithm used for optimization

👉 New tips every TUESDAY and THURSDAY! 👈

🎥 Watch all tips: https://www.youtube.com/playlist?list=PL5-da3qGB5ID7YYAqireYEew2mWVvgmj6
🗒️ Code for all tips: https://github.com/justmarkham/scikit-learn-tips
💌 Get tips via email: https://scikit-learn.tips

=== WANT TO GET BETTER AT MACHINE LEARNING? ===

1. LEARN THE FUNDAMENTALS in my intro course (free!): https://courses.dataschool.io/introduction-to-machine-learning-with-scikit-learn

2. BUILD YOUR ML CONFIDENCE in my intermediate course: https://courses.dataschool.io/building-an-effective-machine-learning-workflow-with-scikit-learn

3. LET’S CONNECT!

• Newsletter: https://www.dataschool.io/subscribe/
• Twitter: https://twitter.com/justmarkham
• Facebook: https://www.facebook.com/DataScienceSchool/
• LinkedIn: https://www.linkedin.com/in/justmarkham/

#machine-learning #data-science