solegalli/hyperparameter-optimization
Code repository for the online course Hyperparameter Optimization for Machine Learning
This repository provides code examples for selecting the best settings for machine learning models, a process known as hyperparameter optimization. It takes your raw data and an initial machine learning model, then guides you in fine-tuning its parameters to improve performance. This is for data scientists, machine learning engineers, or anyone building predictive models who needs to optimize their model's accuracy and efficiency.
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Use this if you are a data scientist or machine learning engineer looking for practical code examples to implement various hyperparameter optimization techniques for your predictive models.
Not ideal if you are looking for a ready-to-use software tool that automatically optimizes your models without needing to write code.
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Sep 24, 2024
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