9
Deployment
Advanced Data Science Programming
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Preface
About the Book
1
Advanced Programming
2
Modularization & OOP
3
API & Data Integration
4
Advanced Data Wrangling
5
Feature Engineering
6
Predictive Modeling
7
Interactive Visualization
8
Performance Evaluation
9
Deployment
10
MLOps & Monitoring
Table of contents
9.1
Model packaging (Pickle, Joblib, RDS, ONNX)
9.2
API serving (Flask, FastAPI, Plumber)
9.3
Batch vs real-time inference
9.4
Deployment platforms (Heroku, AWS, GCP, Azure)
9.5
Containerization (Docker basics)
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9
Deployment
9.1
Model packaging (Pickle, Joblib, RDS, ONNX)
9.2
API serving (Flask, FastAPI, Plumber)
9.3
Batch vs real-time inference
9.4
Deployment platforms (Heroku, AWS, GCP, Azure)
9.5
Containerization (Docker basics)
8
Performance Evaluation
10
MLOps & Monitoring