Important tuning parameters for LogisticRegression

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/