Description
This course will demonstrate how to build and train your own custom machine learning model from scratch. We cover all steps, including how to set up the environment, how to import and prepare your data, how to build and train the model, as well as how to evaluate its performance and make improvements.
Learning Objectives
- Import and validate training data
- Transform that data into features
- Train and evaluate your own machine learning model
- Improve the performance of your model
Intended Audience
- Data Engineers
- Machine Learning Engineers
Prerequisites
- A basic understanding of machine learning concepts
- Some Python experience
Released 3/2023
Download Links
Direct Download
Building a Machine Learning Model.zip (671.3 MB) | Mirror
