Build an anomoly detection algorithm using the Yahoo data set located here: [url removed, login to view]
There is an example here using Java: [url removed, login to view]
However, i need it in Python - preferably using Jupiter notebook. I have the data - it can take a while to get so I'll forward the data to you. THis is a simple project I'm doing for fun. Not looking for anything fancy - just a couple of examples using the data. This will be done using Principle Component Analysis and the Local Outlier Factor algorithm in Python's sklearn (or if you know something better).
Looking for something simple - if you know the material.. shouldn't take more than 2-3 hours.