Machine Learning in Medicine -- Part II

In Part I of this course, we introduced the names of several common machine learning algorithms, such as decision trees, k-nearest neighbors, and neural networks, and discussed how they fit into one another. We proceeded to set up our project by downloading a public domain dataset, the 500 Cities dataset and setting up a JavaScript machine learning library called the DRESS Kit. Next, We went through the data preparation process to extract useful data points from the dataset using several basic functions from the DRESS Kit, including DRESS.local (to load a local file), DRESS.save At the end of Part I, we created a JSON file data.json We also create a JSON file measures.json