DataAdda - VideoAndMovie

I talk about things I learn and issues I face while building solutions with data

Part 4 Video16 Including tracking server in training pipeline

4:50

Part 4 Video16 Including tracking server in training pipeline

Part 4 Video15 Using mlflow tracking server

4:45

Part 4 Video15 Using mlflow tracking server

Part 4 Video14 Preparing tracking server infrastructure

8:29

Part 4 Video14 Preparing tracking server infrastructure

Part 4 Video13 Mlflow tracking server

1:19

Part 4 Video13 Mlflow tracking server

Part 4 Video12 Mflow and experiment tracking

0:37

Part 4 Video12 Mflow and experiment tracking

Part 3 Video11f Packaging the driver program as an MLproject

2:17

Part 3 Video11f Packaging the driver program as an MLproject

Part 3 Video11e Decoupling the data paths and hyperparameters in driver program

2:30

Part 3 Video11e Decoupling the data paths and hyperparameters in driver program

Part 3 Video11d Using hydra to manage configurations

4:39

Part 3 Video11d Using hydra to manage configurations

Part 3 Video11c Running all the components using mlflow python client

2:49

Part 3 Video11c Running all the components using mlflow python client

Part 3 Video11b Using mlflow python client

3:09

Part 3 Video11b Using mlflow python client

Part 3 Video11a Running all components sequentially

2:09

Part 3 Video11a Running all components sequentially

Part 3 Video10 Refactoring model training component

2:48

Part 3 Video10 Refactoring model training component

Part 3 Video9 Refactoring feature engineering component

2:33

Part 3 Video9 Refactoring feature engineering component

Part 3 Video8 Running dataingestion component using mlflow

2:34

Part 3 Video8 Running dataingestion component using mlflow

Part 3: Video7: Refactoring dataingestion component as MLproject

3:47

Part 3: Video7: Refactoring dataingestion component as MLproject

Part 3: Video6: MLflow as an orchestrator

1:39

Part 3: Video6: MLflow as an orchestrator

Part 2: Video5: Creating model training component

7:54

Part 2: Video5: Creating model training component

Part 2: Video4: Creating feature engineering component

8:07

Part 2: Video4: Creating feature engineering component

Part 2 Video3 Creating data ingestion and validation component

14:56

Part 2 Video3 Creating data ingestion and validation component

Part 1: Video2: Traditional Training pipeline

3:24

Part 1: Video2: Traditional Training pipeline

Part 1: Video 1: Mlops intro and tools

4:38

Part 1: Video 1: Mlops intro and tools