Skip to content

Gender Classification Challenge for 'Learn Python for Data Science #1' by @Sirajology on YouTube

Notifications You must be signed in to change notification settings

llSourcell/gender_classification_challenge

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 

Repository files navigation

gender_classification_challenge

##Overview

This is the code for the gender classification challenge for 'Learn Python for Data Science #1' by @Sirajology on YouTube. The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the gender of someone given a novel set of body metrics.

##Dependencies

Install missing dependencies using pip

##Usage

Once you have your dependencies installed via pip, run the script in terminal via

python demo.py

##Challenge

Find 3 more classifiers from the sci-kit learn documentation and add them to the demo.py code. Train them on the same dataset and compare their results. You can determine accuracy by trying to predict testing you trained classifier on samples from the training data and see if it correctly classifies it. Push your code repository to github then post it in the comments. I'll give the winner a shoutout a week from now!

##Credits

Credits for some of the code go to chribsen. I've merely created a wrapper to get people started easily.

About

Gender Classification Challenge for 'Learn Python for Data Science #1' by @Sirajology on YouTube

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages