Oneindia

Building Resilient Finance Systems With Zero Downtime And Maximum Security

Explore how Sai Vamsi Kiran Gummadi is transforming financial systems for zero downtime and enhanced security through ...
InfoWorld

Time series forecasting with XGBoost and InfluxDB

XGBoost is a popular open source machine learning library that can be used to solve all kinds of prediction problems. Here’s how to use XGBoost with InfluxDB. XGBoost is an open source machine ...
搜狐

30 分钟看懂 XGBoost（Python代码）

Xgboost是一种集成学习算法，属于3类常用的集成方法（bagging、boosting、stacking）中的boosting算法类别。它是一个加法模型，基模型一般选择树模型，但也可以选择其它类型的模型如逻辑回归等。 Xgboost属于梯度提升树(GBDT)模型这个范畴，GBDT的基本想法是让新的基 ...
51CTO

Python中用XGBoost和scikit-learn进行随机梯度增强

在本文中，您将发现随机梯度增强以及如何使用XGBoost和Python中的scikit-learn来调整采样参数。 集成决策树的一种简单技术涉及在训练数据集的子样本上训练树。可以采用训练数据中行的子集来训练称为袋装的单个树。在计算每个分割点时，如果还使用了训练数据 ...
GitHub

xgboost-python

An XGBoost model in Python that classifies if a customer will cancel his/her hotel booking or not. I also use counterfactuals guided by prototypes from the Alibi package to explore the minimum changes ...
syncedreview

Tree Boosting With XGBoost – Why Does XGBoost Win “Every” Machine Learning Competition?

Tree boosting has empirically proven to be efficient for predictive mining for both classification and regression. For many years, MART (multiple additive regression trees) has been the tree boosting ...