Machine Learning Fundamentals - Lab - Classification
About
This lab walks you through implementing classification to predict Left-Handedness from Psychological Factors.
We’ll walk through a full data science problem in this lab. Specifically, we’ll use a survey of psychological factors to predict whether or not individuals are left-handed. Along the way, we’ll compare multiple classification models and see which best serve our needs.
Prerequisites
- Perform simple statistical analysis in
pandas - Explain knn and logistic regression
- Define bias, variance, and correlation
- Define and interpret common classification metrics
Submission
Lab submissions should be made via Canvas. Your submission will be in the form of a link to your Github fork of this repository.
Important note
Please ignore the _layouts folder and the config.yml file in the root of this repo. They are needed to make sure the repo renders well; please don’t change them or delete them and your repo will work fine :)