317 - HyperParameter Optimization using Genetic algorithms

Опубликовано: 03 Апрель 2024
на канале: DigitalSreeni

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Code generated in the video can be downloaded from here:
https://github.com/bnsreenu/python_fo...

In this example, we will use the same dataset (steel alloy strength) from the previous tutorial to fit and tune Random Forest Regressor.

The dataset can be downloaded from here: https://www.kaggle.com/datasets/fuarr...

The data set contains the elemental composition of different alloys and their respective yield and tensile strengths.

A machine learning model can be trained on this data, allowing us to predict the strength of an alloy based on its chemical composition.