Answering 59 scikit-learn questions (video)

In April, I hosted a live, public webcast to answer any questions about scikit-learn. I've been teaching scikit-learn for five years, and I really enjoy sharing my knowledge with others!

Hundreds of people attended, and I answered 59 questions in 90 minutes! ⏱😅

You can watch the recording right now:

👉 Watch me answer 59 scikit-learn questions LIVE 👈

Here are a few of the questions I answered:

• How do I include a categorical feature in a model?
• How should I deal with class imbalance?
• Can I do all of my preprocessing in scikit-learn (instead of pandas)?
• When should I standardize my features?
• Should I split my dataset into train/test OR train/test/holdout?
• Is it worth my time to learn scikit-learn, since deep learning has been so successful?
• How do I know if I have "enough" data to build a model?
• What is data leakage?

Click on a question to jump directly to my answer!