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The project "Machine Learning with LightGBM" is a research project aimed at applying the LightGBM gradient boosting algorithm to solve various machine learning tasks. LightGBM is a fast and efficient library for training gradient boosting models over decision trees.

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lightGBM-machine-learning

The project "Machine Learning with LightGBM" is a research project aimed at applying the LightGBM gradient boosting algorithm to solve various machine learning tasks. LightGBM is a fast and efficient library for training gradient boosting models over decision trees.

Install anaconda on macOS using Homebrew

Install anaconda via brew cask by executing

$ brew install --cask anaconda
.
.
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🍺  anaconda was successfully installed!

Set up the environment path

$ echo 'export PATH="/opt/homebrew/anaconda3/bin:$PATH"' >> ~/.zshrc
$ source ~/.zshrc

Restart the terminal or use source ~/.zshrc to reload your shell environment and execute jupyter notebook an output will be like this

$ jupyter notebook

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The project "Machine Learning with LightGBM" is a research project aimed at applying the LightGBM gradient boosting algorithm to solve various machine learning tasks. LightGBM is a fast and efficient library for training gradient boosting models over decision trees.

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