Thanks to everyone who joined us live for our 1st episode of Beep Boop with the Microsoft Reactor- it was so much fun chatting about our AI/ML experience and learning alongside y'all as we beeped and booped through some of our first Microsoft Learn module! π©βπ»π©π½βπ»
If you missed the fun live, don't worry- you can watch the replay here on YouTube, and in the embedded video below!
On this episode we cover:
1:36 Ornella and Chloe explain what exactly is a beep boop and what we're doing on the show! π€
9:23 We chat about PER (player efficiency ratings in basketball), why ball is indeed life, and intro the first Learn module that we'll be working on ππ―
16:25 Download VS Code, Python and the Python extension to beep boop alongside us π―ββοΈ
17:24 Making sure everything is ready to goooo by setting up your local environment for data science coding and bringing in that dataset
30:08 We're on the hunt for missing values in our dataset and we get rid of them by dropping rows and columns - NaN no thank you π π½ββοΈ
40:15 We check for outliers and reminisce about the childhood magic of box π¦ and whisker π± plots
49:17 We check the distribution of the data using histograms π (not to be confused with historical instagrams π)
59:11 A meet n greet with our show mascot, Franklin πΆπ¦΄
Did you have fun? Check out Beep Boop 2: Use Machine Learning Models to Prep Your Data where we continue on this PERfect journey together - see ya then, friends!
Top comments (1)
Thank you for the links and time breakdown. This looks really interesting.