Stream notes

Video

Here’s the VOD:

Below is an embed

Intro
1. Talked about Pokemon Go Raids
2. Talked about posting dev environment blog article
  1. And how WSL is awesome
3. Talked about posting photo blog article
Code
1. We can try to fit a Decision Tree
  1. To visualize better is a little complicated, would require updating the virtual environment
    1. Python Environment for Tree Exploration
    2. A few options for visualizing trees are listed in this discussion
  2. Send Leah the math formulations for trees
2. Comparing classifiers inside sklearn
3. Variable name redeem:
  1. BREAD
4. Unveiling the keyboard
  1. Took a break from code to show off the new Keebio Iris board and swap keys over from the Redox
We raided bedtimebear_808

[X] Is there a cooldown on sound alerts?
- There is a 60 second general cooldown on free sounds
- User specific cooldown has been reduced to 5 seconds
[X] Add github to twitch
[X] add socials link(s) to chat bot commands
[ ] change wordpress endpoint, specifically /admin
[ ] send Leah the math derivations for decision trees
[ ] Add custom function to look at the term frequency distributions
- [ ] This is even what the scikit-learn docs do…they should just build it in to the algorithms…
[ ] What is a good minimium document frequency for a term and what is a cutoff? 1/number of topics?
[ ] Look at the example on sklearn for NMF and topic extraction
[ ] Add tree visualization libraries to virtual environment: ETE or Graphviz (which is in sklearn now) or Plotly or treelib (which is the most simple)