AutoML using Hyperopt-Sklearn скачать в хорошем качестве

AutoML using Hyperopt-Sklearn

HyperOpt-Sklearn wraps the HyperOpt library which is an open-source Python library for Bayesian optimization. In this video, I'll show you how you can use HyperOpt-Sklearn to auto-generate amazing models for classification tasks. HyperOpt is designed for large-scale optimization for models with hundreds of parameters and allows the optimization procedure to be scaled across multiple cores and multiple machines. Code Link : https://github.com/bhattbhavesh91/hyp... If you do have any questions with what we covered in this video then feel free to ask in the comment section below & I'll do my best to answer those. If you enjoy these tutorials & would like to support them then the easiest way is to simply like the video & give it a thumbs up & also it's a huge help to share these videos with anyone who you think would find them useful. Please consider clicking the SUBSCRIBE button to be notified for future videos & thank you all for watching. You can find me on: Blog - http://bhattbhavesh91.github.io Twitter -   / _bhaveshbhatt   GitHub - https://github.com/bhattbhavesh91 Medium -   / bhattbhavesh91