Interactive Study Module
MLOps: Model Tracking with MLflow & Automated Retraining
By Bravion EDU DATA SCIENCE Team
14 min read
Lesson Overview: MLOps: Model Tracking with MLflow & Automated Retraining
DATA SCIENCE • Level 4: Expert & Master Projects
This is lesson 16 of 17 in the DATA SCIENCE track (Level 4: Expert). The multidisciplinary field using scientific methods, algorithms, and systems to extract knowledge from data.
Lesson write-up in progress
The full written walkthrough for "MLOps: Model Tracking with MLflow & Automated Retraining" has not been published yet. Use the sandbox below to experiment, and use the module outline to move to neighbouring lessons.
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Step 5: Remember This! (Memory Anchors)
Where This Lesson Fits
- Module: Level 4: Expert & Master Projects (3 lessons)
- Previous lesson: Big Data Processing with PySpark & Distributed DataFrames
- Next lesson: Data Science Capstone: End-to-End Customer Churn Prediction Machine Learning System
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