ML in Production: From Data Scientist to ML Engineer

سرفصل های دوره

Turn any ML model within Jupyter Notebook to production-ready microservice.

1. Getting Started

1. Course Compass Exploring the Journey Ahead

2. Course Resources Community, Git Repository, and more.html

3. Course Software Setup Jupyter, IDE and more.html

2. Model Creation in Jupyter Notebook

1.1 You can access the end result of this lecture through the following link..html

1. Data Preprocessing, Model Building, Hyperparameters Tuning & Models Management

3. Model-to-App Packaging Production Codebase Design

1. From Jupyter to Application Code Transformation

2.1 You can access the end result of this video through the following link..html

2. Python Dependency Management Setup with Poetry

3.1 You can access the end result of this video through the following link..html

3. Python Parametrization Setup with Pydantic

4.1 You can access the end result of this lecture by following this link..html

4. Python Logging Setup with Loguru

5.1 You can access the end result of this lecture by following this link..html

5. Database Setup and Python Connectivity with Sqlalchemy

6.1 You can access the end result of this lecture by following this link..html

6. Foundations of Codebase Architecture

7.1 You can access the end result of this lecture by following this link..html

7. Clean Code Techniques for Software Excellence

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تولید کننده: Udemy