Journal Reflection #2: Insights into your first ML project

Please use your reply to this blog post to detail the following:

  1. Please start with a full description of the nature of your first ML project.
  2. What was your primary motivation to explore the project you completed?
  3. Share some insights into what predictions you were able to make on the dataset you used for your project.
  4. What new skills did you pick up from this project? For example, had you used Jupyter Notebooks before? Did you encounter any weird bugs, twists, or turns in your dataset that caused issues? How did you resolve those issues?
  5. What types of conclusions can you derive from the images/graphs you’ve created with your project? If you didn’t create charts or graphs and instead explored things like Markov Chains, how much work do you think you need to do to further refine your project to make its output more realistic?
  6. Did you create any formulas to examine or rate the data you parsed?

Take the time to look through the project posts of your classmates. You don’t have to comment on the posts of your classmates, but if you want to give them praise or just comment on their project if you found it cool, please do.

This entry was posted in Uncategorized. Bookmark the permalink.

Leave a Reply