1. Conclusion
You made it - congratulations!
2. How does this course fit into data science?
You now have practice applying logistic regression and support vector machines to classification problems. How does this fit into a bigger picture?
The way I see it, data science is the process of answering questions and making decisions based on data.
The data science process usually combines several of the following pieces: data collection, data preparation, database design, visualization, communication, software engineering, machine learning, and more. In this course we focused on the machine learning portion.
Machine learning has several branches like supervised learning, unsupervised learning, and reinforcement learning. We've been focusing on supervised learning, which means trying to predict a target value from features given a labeled data set.
Within supervised learning, we've focussed on classification, which means the thing we're trying to predict is categorical rather than a continuous in nature.
Finally, we covered logistic regression and SVMs, the two most popular linear classifiers. So, while we've done a lot, there's so much more out there!
3. Congratulations & thanks!
Thanks for completing this journey with me. I hope you enjoyed it as much as I did. Congratulations again.