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MLOps Coding Course: Python, Git, and ML Pipelines
4.5. Formatting - MLOps Coding Course

4.5. Formatting - MLOps Coding Course

MLOps Coding Course: Python, Git, and ML Pipelines

الدرس السابق الدرس التالي

محتوى الكورس

جميع الدروس
50 درس
07:04 MLOps Coding Course - MLOps Coding Course
05:18 1.0. System - MLOps Coding Course
06:14 1.1. Python - MLOps Coding Course
05:42 1.2. uv - MLOps Coding Course
06:52 1.3. uv project - MLOps Coding Course
07:11 1.4. git - MLOps Coding Course
05:54 1.5. GitHub - MLOps Coding Course
05:48 1.6. VS Code - MLOps Coding Course
06:28 2.0. Notebooks - MLOps Coding Course
06:03 2.1. Imports - MLOps Coding Course
07:20 2.2. Configs - MLOps Coding Course
06:18 2.3. Datasets - MLOps Coding Course
08:11 2.4. Analysis - MLOps Coding Course
08:31 2.5. Modeling - MLOps Coding Course
07:45 2.6. Evaluations - MLOps Coding Course
08:09 3.0. Package - MLOps Coding Course
06:04 3.1. Modules - MLOps Coding Course
07:19 3.2. Paradigms - MLOps Coding Course
07:54 3.3. Entrypoints - MLOps Coding Course
06:07 3.4. Configurations - MLOps Coding Course
08:18 3.5. Documentations - MLOps Coding Course
05:27 3.6. VS Code Workspace - MLOps Coding Course
07:53 4.0. Typing - MLOps Coding Course
06:41 4.1. Linting - MLOps Coding Course
08:20 4.2. Testing - MLOps Coding Course
07:15 4.3. Logging - MLOps Coding Course
08:21 4.4. Security - MLOps Coding Course
05:45 4.5. Formatting - MLOps Coding Course
07:25 4.6. Debugging - MLOps Coding Course
07:22 5.0. Design Patterns - MLOps Coding Course
06:45 5.1. Task Automation - MLOps Coding Course
06:56 5.2. Pre Commit Hooks - MLOps Coding Course
07:32 5.3. CI CD Workflows - MLOps Coding Course
06:32 5.4. Software Containers - MLOps Coding Course
06:04 5.5. AI ML Experiments - MLOps Coding Course
07:59 5.6. Model Registries - MLOps Coding Course
07:59 6.0. Repository - MLOps Coding Course
07:38 6.1. License - MLOps Coding Course
06:55 6.2. README - MLOps Coding Course
07:37 6.3. Releases - MLOps Coding Course
07:41 6.4. Templates - MLOps Coding Course
05:53 6.5. Workstations - MLOps Coding Course
06:12 6.6. Contributions - MLOps Coding Course
06:10 7.0. Reproducibility - MLOps Coding Course
08:22 7.1. Monitoring - MLOps Coding Course
06:55 7.2. Alerting - MLOps Coding Course
07:26 7.3. Lineage - MLOps Coding Course
06:03 7.4. Costs KPIs - MLOps Coding Course
06:34 7.5. Explainability - MLOps Coding Course
05:24 7.6. Infrastructure - MLOps Coding Course