Source: DeepHub IMBA This article will detail the introduction, function, and value range of the ten most commonly used hyperparameters in XGBoost, as well as how to use Optuna for hyperparameter tuning. The default hyperparameters for XGBoost work fine, but if you want to achieve the best results, you need to adjust some hyperparameters to … Read more
XGBoost is an integrated machine learning algorithm that can be used for various problems such as regression, classification, and ranking, and is widely used in machine learning competitions and industrial fields. Successful cases include: web text classification, customer behavior prediction, sentiment mining, ad click-through rate prediction, malware classification, item classification, risk assessment, and predicting dropout … Read more
↑↑↑ Follow and “Star” Datawhale Daily Insights & Monthly Learning Teams, Don’t Miss Out Datawhale Insights Author: Li Zuxian, Shenzhen University, Datawhale University Group Member Zhihu Address: http://www.zhihu.com/people/meng-di-76-92 Today, I will mainly introduce XGBoost, one of the three giants in machine learning ensemble methods. This algorithm has previously shone in machine learning competitions and is … Read more
Source: Machine Learning Algorithms This article is about 8400 words long and is recommended for a 10-minute read. This article provides a detailed explanation of the engineering application methods of XGBoost. The illustrated machine learning practical application demonstrates the application process and chain of machine learning algorithms in a case-driven and code-driven manner, mastering the … Read more
– Digital Rebirth: In the chaos, the digital life of Nezha awakens in the code written by Taiyi Zhenren, discovering himself trapped in the virtual sandbox of Chentang Pass. This setting transforms traditional mythology into a data war on cloud servers. – Algorithmic Fate: The antivirus program written by Yuanshi Tianzun is about to format … Read more
Click on "Xiaobai Learns Vision" above, select "Star" or "Pin" Heavy content delivered immediately Editor’s Recommendation A simple summary is whether it is supervised (supervised) or not, which depends on whether the input data has labels (label). If the input data has labels, it is supervised learning; if there are no labels, it is unsupervised … Read more
This article is reprinted from the public accountDatawhale Translator:Ahong, Source:dataxon Machine learning is a hot topic, but aside from those who are well-versed in it, very few can explain what it really is. When reading articles about machine learning online, you are likely to encounter two situations: either a heavy academic trilogy filled with various … Read more
Source: CloudB Computational Thinking and Beauty This article is about 2200 words long and is recommended for a 7-minute read. How can "humans" do what they excel at and leave the rest to machines. [ Introduction ]Machine learning has been leading the development of artificial intelligence since the 1980s. Its significant contribution to AI is … Read more
Machine learning can be divided into two main categories based on model types: supervised learning models and unsupervised learning models. 1. Supervised Learning Supervised learning typically uses training data with expert-labeled tags to learn a function mapping from input variable X to output variable Y. Y = f(X), where the training data is usually in … Read more
ID: Hazelnut Public Account: Python and Algorithm Community We often encounter the problem of where to download data. You must have struggled to find the data you want, as I often spend considerable effort looking for data. Recently, I specifically searched for it, and the following links can all be opened normally. 1. Agriculture Related … Read more