Ugh, I thought I had it but its somewhere buried in my bookmarks. I'll try to dig it up

cool animation! what software did you use?

hand drawn charts are always so fun

what a great cover

here’s what the new dataset looked like, and how the model predicted if they were ‘preferred’ or not (1 is preferred). the results were pretty solid, with a protein-fat threshold somewhere around 5:1

i think ML can be confusing, but understanding what's going on makes it less so

similarly, i have a section dedicated to one of python's default classification models. i wrote this back when ML was new to me, but it's fun seeing myself cover fundamentals

I selected a regression model, defined a training set, and trained a script for binary classification

the next step was preprocessing the data. I go into more detail in my guide, but here’s a screenshot of what I did. Basically, I made the data as easy to process as possible—standardizing, scaling, and encoding each food item into different categories. data science basics

here was what the distribution of the foods looked like. i believe it was per 100g serving

the goal was to create a model that could classify foods based on if they met my protein-fat ratio requirements. i got the data from USDA FoodData nutritional database

here’s how the raw data looked . There are fields for Descrip (the actual food item) and a bunch of nutrients