CST 383 - Week 1

 This week was an introduction week. The slides covered a review of Python and also a guide on how to install Anaconda, which is a distribution platform. In my case, I had never used Anaconda before or the Spyder IDE, but it was easy to use. I still haven’t used all the tools in Spyder, but I will probably use more of them when I work with Matplotlib.

I worked and practiced with the NumPy library, which has functions to work with arrays faster. I had practiced it before, but honestly I forgot the syntax, so today I felt refreshed. I also learned about filtering, which was new for me because I had never worked with NumPy and boolean arrays before.

For the machine learning part, I still have trouble understanding the training data. I get confused about what the data points are and whether they come from the Iris dataset or are created by the program. I also get more confused with the k-nearest neighbors algorithm, but I am still studying so I can understand it better.

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