sources.txt

Cite Sources

(0) https://www.kaggle.com/competitions/house-prices-advanced-regression-techniques/data

(1) https://atavory.github.io/ibex/_modules/sklearn/ensemble/gradient_boosting.html
# skleanr page onGradBoostRegress is wrong w respect to loss fucntion names 

(2) https://dhirajkumarblog.medium.com/top-5-advantages-and-disadvantages-of-decision-tree-algorithm-428ebd199d9a

(3) SKLEARN https://scikit-learn.org/stable/modules/classes.html#module-sklearn.ensemble

(4) IMPUTATION https://github.com/iskandr/fancyimpute

(5) GRAD BOOST https://towardsdatascience.com/understanding-gradient-boosting-machines-9be756fe76ab
               https://www.kaggle.com/code/carlmcbrideellis/an-introduction-to-xgboost-regression/comments

(6) Model Eval : https://scikit-learn.org/stable/modules/model_evaluation.html#scoring-parameter
                 https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_validate.html#sklearn.model_selection.cross_validate
                 https://atavory.github.io/ibex/_modules/sklearn/ensemble/gradient_boosting.html