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External Links 33
alberto tondo
unsplash.com
Unsplash
unsplash.com
Github
github.com
www.linkedin.com
Substack
mlengineer.substack.com
restaurant visitor forecasting
www.kaggle.com
music recommendation
www.kaggle.com
safe driver prediction
www.kaggle.com
many more
github.com
credit card fraud detection
www.kaggle.com
https://www.kaggle.com/avanwyk/a-lightgbm-overview
www.kaggle.com
https://github.com/Microsoft/LightGBM
github.com
Dropouts meet Multiple Additive Regression Trees (DART)
arxiv.org
Gradient Based One-Side Sampling (Goss)
papers.nips.cc
problem dependent
towardsdatascience.com
XGBoost
github.com
Random Forest
en.wikipedia.org
Boosting
en.wikipedia.org
gradient descent
en.wikipedia.org
post
blog.kaggle.com
Ben Gorman
www.linkedin.com
line search
en.wikipedia.org
as given in the XGBoost documentation
xgboost.readthedocs.io
paper
www.microsoft.com
Dataset
lightgbm.readthedocs.io
training API
lightgbm.readthedocs.io
here
lightgbm.readthedocs.io
leaf-wise
github.com
https://sites.google.com/view/lauraepp/parameters
sites.google.com
https://lightgbm.readthedocs.io/en/latest/index.html
lightgbm.readthedocs.io
https://lightgbm.readthedocs.io/en/latest/Parameters.html
lightgbm.readthedocs.io
Hugo
gohugo.io
Blowfish
blowfish.page