Completed
- Jupyter Notebook colab & GitHub
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Classroom Contents
Smart ML Experiment Tracking and Model Registry with Neptune.AI Platform
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- 1 - Video Start
- 2 - Introduction
- 3 - Why and Why?
- 4 - 3 Key Features
- 5 - Platform Service Status
- 6 - MLOps Tutorials
- 7 - Get Platform Access
- 8 - Jupyter Notebook colab & GitHub
- 9 - Heart Disease Detection ML Experiment
- 10 - ML Experiment in Keras/TensorFlow
- 11 - Export colab notebook to GitHub
- 12 - Adding Neptune Tracking code
- 13 - Create Tracking Project
- 14 - Initialize Neptune runtime objects
- 15 - ML Experiment with Neptune Objects
- 16 - Neptune Callback with ML Experiment
- 17 - Neptune ML Tracking Dashboard
- 18 - Adding another Experiment
- 19 - Comparing Experiments
- 20 - Custom content image Tracking
- 21 - More Experiments tracking
- 22 - Adding Jupyter notebook as resource
- 23 - Pushing Colab notebook to GitHub
- 24 - Recap
- 25 - Credits
