A four-month bootcamp to ()
| Week | Topic | Notes | Homework |
|---|---|---|---|
| 1 | Introduction | ||
| 2 | Linear Regression | ||
| 3 | Classification (Logistic Regression) | ||
| 4 | Evaluation | ||
| 5 | Deployment | ||
| 6 | Decision Tree | ||
| 7 | ML Production (BenntoML) | ||
| 8 | Mid-Term Project | ||
| 9 | Deep Learning | ||
| 10 | Kubernetes | ||
| 11 | KServe | ||
| 12 | Capstone Project |