ML Parameters Optimization: GridSearch, Bayesian, Random

提供方
在此指导项目中,您将:
2 hours
初级
无需下载
分屏视频
英语(English)
仅限桌面

Hello everyone and welcome to this new hands-on project on Machine Learning hyperparameters optimization. In this project, we will optimize machine learning regression models parameters using several techniques such as grid search, random search and Bayesian optimization. Hyperparameter optimization is a key step in developing machine learning models and it works by fine tuning ML models so they can optimally perform on a given dataset.

您要培养的技能

  • Data Analysis

  • Machine Learning

  • Mathematical Optimization

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