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Handbook for Learning Data Science

Data Life Cycle

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Handbook for Learning Data Science

Welcome
Introduction
Introduction
Life Cycle
Life Cycle
- Overview
- Lifecycle of an ML project
- Business
- Data Life Cycle Data Life Cycle
  Table of contents
  - The Validation Set Approach
  - Leave-One-Out Cross-Validation (LOOCV)
MLOps
MLOps
- Data Acquisition
- Data Preparation
XAI
Privacy, Fairness, Legal Compliance
Approaches to Machine Learning Application Development
Practical Hands-on skills
Practical Hands-on skills
Infrastructure
Infrastructure
Case Study
Sample Excises and Student projects
Conclusion

Table of contents

The Validation Set Approach
Leave-One-Out Cross-Validation (LOOCV)

Data Life Cycle

The Validation Set Approach

Leave-One-Out Cross-Validation (LOOCV)

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