yuzhiliu / learning

Introduction

This repository contains much of my work learning to program, learning about machine learning and data science. It is reserved exclusively for small demos, little tutorials, and the like.

Some of the work is very old, and was just put here for me to chuckle at and see how far I've come (check out the cpp area...cobwebs...).

Any little thing that I do, which might be useful as a reference, or a toy implementation which I might benefit from actually saving will go here. Proper projects will get their own repositories.

The goal of this repository is to reign in my learning into one place, to facilitate working on various machines without worring about synching things up.

This repository will also serve as a complete record/prep area for all job related activities that I undertake over my career in Data Scienece / Machine learning.

In the Introduction.ipynb, the goal will be to link any relevant notebooks to concepts, notes, etc, elsewhere in this repo. The introduction ranks my comfort level in these topics, but the ranking was carried out some time ago and is not really relevant anymore.

Topics (overall) will be rated with a score (1, 2, or 3), where 3 is "very prepared", 2 is "familiar, needs study" and 3 is "not at all prepared".