Summary

In this final chapter, you saw how to deploy your machine learning model using the Flask micro‐framework. You also saw how you can view the correlations between the various features and then only use those most useful features for training your model. It is always useful to evaluate several machine learning algorithms and choose the best performing one so that you can choose the correct algorithm for your specific dataset.

I hope that this book has given you a good overview of machine learning, and that it has jumpstarted and inspired you to continue learning. As I have mentioned, this book is a gentle introduction to machine learning, and there are some details that were purposely omitted to make it easy to follow along. Nevertheless, if you have tried all of the exercises in each chapter, you should now have a pretty good understanding of the fundamentals of machine learning!