CST 383 Week 5
This was our fifth week in CST 383 - Data Science. Reflection This week we covered how to process missing data in datasets, how to scale datasets, and the basics of training and testing machine learning algorithms. Some of the more straightforward concepts this week were those about missing data. Although much of the information itself was new, it corresponded the most with what we've learned about DataFrames and other data types in previous weeks. I would say that the most difficult concepts covered this week were those about training and testing algorithms. We covered some basic ideas around this in the first weeks of the course, but this was the first time that we covered how this is done in code. Despite the material being difficult, enough was covered in class to greatly help with the homework that covered these concepts. I imagine that we will expand on these concepts in upcoming weeks. Class Lecture Missing Data This week we discussed missing and bad data within data sets. ...
