Summary
In this last chapter, we reviewed a few of the “secrets” of the authors of great notebook content on Kaggle. They have in common a few qualities: they have a constant presence on the platform, start early working on a new dataset or competition dataset, continuously improve their work, recognize and appreciate quality content created by others, are continuous learners, are humble, share their knowledge, and constantly work outside their comfort zone. These are not aims on their own, but merely symptoms of the passion and constant interest in all there is to know about analyzing data and creating great predictive models.
As we wrap up this book and leave you to embark on your Kaggle Notebook adventures, I wish you a safe journey. I hope you enjoyed reading, and please remember that the world of data science is continuously changing. Keep experimenting, stay curious, and dive into data with confidence and skill. May your future Kaggle Notebook be filled with...
