This project was completed as a part of the Metis 12-week data science bootcamp in 2021. This blog post walks through how I used Natural Language Processing to identify how family members make one another happy.

Introduction

I’ve known my whole life that one of the ways my dad shows me and my sisters that he loves us is by bringing us food. In high school he brought me plates of grapes with cheese and crackers when I was anxiously reciting the parts of the cell in preparation for a biology test. Now he brings me cups of mint tea as…


Introduction

“Generative Adversarial Networks.” It’s a mouthful, and just the name itself makes it sound complicated. Generative Adversarial Networks, also known as GANs, are the magic behind fake images. Even if you’ve never heard of them, you’ve probably seen them in action. Just a few months ago, in November 2020, New York Times posted an article called “Designed to Deceive: Do These Fake People Look Real to You?” The Times used GAN software to create fake images of people, like the people shown below.

Source: https://www.nytimes.com/interactive/2020/11/21/science/artificial-intelligence-fake-people-faces.html

The goal of the Times was to show how much facial fakery has improved over the years…


An analysis of the difference between men and women when they say they climb ‘5.something’.

Introduction

Every once in a while I’ll meet a climber and they’ll ask me, “What grade do you climb?” Instantly my mind has flown off into calculation mode.

Well, I just climbed my first 5.12a in Malibu last weekend, so maybe I’m a 5.12a climber. No, I’ve only climbed one, and maybe it was soft. I’ve climbed five high 5.11s, but I don’t feel confident on ~all~ 5.11s. …

Kaitlyn Zeichick

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