3. Appendices
A. Setting up environment
○ Python
○ Docker
○ AWS
B. Introduction to Python
C. Introduction to NumPy and Linear Algebra
D. Introduction to Pandas
E. Using AWS SageMaker
4. Pictures from olx.ua
Chapter 2: Car Price Prediction
https://github.com/alexeygrigorev/mlbookcamp-code/blob/master/chapter-02-car-price/02-carprice.ipynb
11. Chapter 9: Kubernetes and Kubeflow (WIP)
Ingress
Client
Node1
Node2
Pod A
Pod B Pod C
Pod D
Pod E
Pod F
Service1Service2
Deployment 1
Deployment 2
Kubernetes Cluster
12. mlbookcamp.com
● Learn Machine Learning by doing
projects
● http://bit.ly/mlbookcamp
● Get 40% off with code “grigorevpc”
Machine Learning
Bookcamp