University of Texas @ Austin AI/ML Course

8/15/2020 cohort

Repository for UT Austin AI/ML certificate program code

Helpful links

These links are not affiliated with UT Austin or the AI/ML Course.

Python for Data Science JNBs (my fork)
- A collection of Jupyter Notebooks designed to learn Python for Data Science.
Fastbook by Fast AI (my fork)
- These draft notebooks cover an introduction to deep learning, fastai, and PyTorch.
- Copyright 2020 Jeremy Howard and Sylvain Gugger

Name		Name	Last commit message	Last commit date
Latest commit History 142 Commits
00 Statistics		00 Statistics
01 Fundamentals of AIML		01 Fundamentals of AIML
02 Supervised Learning		02 Supervised Learning
03 Ensemble Techniques		03 Ensemble Techniques
04 Feature Selection, Model Selection, and Tuning		04 Feature Selection, Model Selection, and Tuning
05 Unsupervised Learning		05 Unsupervised Learning
06 Intro to Neural Networks		06 Intro to Neural Networks
07 Intro to Computer Vision		07 Intro to Computer Vision
08 Intro to Natural Language Processing		08 Intro to Natural Language Processing
90 Hackathon 2.0		90 Hackathon 2.0
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md