datasets VS data

Here's a live demo with a simple React frontend. It's searching against an S3 bucket containing Unsplash's open source dataset of 25,000 images, plus a few of my own.

Alright so we are going to use the test dataset that unsplash provides but everything works with the full dataset if you are able to access that one, you can get more information in the github repo.

This project uses GithubActions to assemble a random movie clip every hour or so. Each of the frames is an image taken from the Unsplash Dataset.

You of course already know this answer, but just to put it into more perspective. Here are the SPI ranking equivalents to what he did with these 11 goals in Scotland and Switzerland.

To answer these questions I decided to look at 538’s RAPTOR ratings. RAPTOR uses player tracking data to estimate how much each player contributes on the offensive and defensive ends. The total RAPTOR score should be something like the “number of points a player contributes to his team’s offense and defense per 100 possessions, relative to a league-average player.” Higher is better, best during the regular season has been Nikola Jokic at +14. You can read more about it here or play with an interactive tool on their website here. I don’t really care about the details of why it’s a good statistic, but it seems pretty helpful and most importantly for my purposes you can download the data here for free.

EDIT: I came to this data from this repository which has a nice csv collection for machine training.

Looks like we may actually be collectively underrating our guys now. That's an interesting change. Based on SPI (rating = 72.4) we would be:

Before Disney/ABC get any -ideas-, might be a good chance to get our hands on at least their data[0]!

[0]: https://data.fivethirtyeight.com/

Most young women expect words to be involved when their partner seeks their consent. 43% of young men actually ask for verbal confirmation of consent. Overall, verbal indicators of consent or nonconsent are more common than nonverbal indicators. More open communication also increases the likelihood of orgasm for women.

DHM does not use an equity sample. Of all polling operations they rank 250 out of 517. Id like to see another pollster https://github.com/fivethirtyeight/data/blob/master/pollster-ratings/pollster-ratings.csv

LOL My github’s pretty sparse but I’m pulling data from this API; 538 also provides the data they use for their club predictions here if that interests you