This course teaches you how to use the Julia programming language for machine learning tasks. It builds upon foundational programming and machine learning concepts, guiding you through Julia's specific features and libraries that make it a strong contender for ML development. You will learn to implement various machine learning models and data processing pipelines in Julia.
Prerequisites Programming & ML concepts
Level:
Julia for Data Science
Utilize Julia's syntax and features for efficient data science computations.
Data Preprocessing
Perform data manipulation and preprocessing using dedicated Julia packages.
Machine Learning Algorithms
Implement common machine learning algorithms effectively in Julia.
Model Evaluation
Evaluate and tune machine learning models within a Julia environment.
ML Workflows
Construct and manage machine learning pipelines using Julia tools.
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