表面科学联合会对缓蚀剂分子的贝叶斯优化
Bayesian optimization of corrosion inhibitor molecules by surface-science-syndicate (2024-03-29, Jupyter Notebook, 0KB, 下载0次)
该项目的实施和提交部分满足了加的夫大学数据科学和分析硕士的要求
This project was undertaken and submitted in partial fulfilment of the requirements for Msc Data Science and Analytics at Cardiff University (2024-02-03, Jupyter Notebook, 0KB, 下载0次)
我在贝叶斯方法优化和主动学习方面的工作至今！
My work in Bayesian methods optimization and active learning so far! (2024-01-15, Jupyter Notebook, 0KB, 下载0次)
通过降维和XGBoost进行梅赛德斯-奔驰试验台时间预测，
Mercedes Benz test bench time prediction by dimensionality reduction and XGBoost, (2023-10-24, Jupyter Notebook, 0KB, 下载0次)
NeurIPS 2023接受的论文“量子贝叶斯优化”的官方实现。，
Official implementation for the paper "Quantum Bayesian Optimization" accepted to NeurIPS 2023., (2023-10-09, Jupyter Notebook, 0KB, 下载0次)
多维时间序列分类的维度类激活图，
Dimension-wise Class Activation Map for Multivariate Time Series Classification, (2023-09-19, Jupyter Notebook, 0KB, 下载0次)
映射贝叶斯空间和多目标优化。在Python.中。，
Mapping the space of Bayesian and multiobjective optimization. In Python., (2021-10-23, Jupyter Notebook, 0KB, 下载0次)
硕士论文“投资组合优化的贝叶斯RNN”的代码，
Code for master s thesis "Bayesian RNNs for Portfolio Optimization", (2020-03-13, Jupyter Notebook, 0KB, 下载0次)
贝叶斯Voigt轮廓拟合器。优化用于吸收线分析。，
A Bayesian Voigt profile fitter. Optimized for absorption line analysis., (2023-05-23, Jupyter Notebook, 0KB, 下载0次)
“功能网络的贝叶斯优化”的伴随代码发布，发表在NeurIPS 2021。，
Companion code release to "Bayesian Optimization of Function Networks", published in NeurIPS 2021., (2021-11-07, Jupyter Notebook, 0KB, 下载0次)
如何使用scikit optimize使用贝叶斯优化的示例，
Examples on how to use bayesian optimization using scikit-optimize, (2018-01-27, Jupyter Notebook, 0KB, 下载0次)
新加坡废物管理对空气污染物影响的深刻分析。使用Python，主要是NumPy、matplotlib、Pandas&stats...，
A insightful analysis of Singapore waste management s impact on air pollutants. Uses Python, mainly the NumPy, matplotlib, Pandas & statsmodel library for data cleaning & visualisation, showcasing different graphs and statistics to depict waste trends, recycling efforts, pollutants correlations to highlight how recycling affects pollution. (2023-08-26, Jupyter Notebook, 0KB, 下载0次)
探索用于聚类、降维、异常检测和数据分析的复杂的无监督学习方法。解开...，
Explore sophisticated unsupervised learning methods for clustering, dimensionality reduction, anomaly detection, and data analysis. Unleash hidden insights without labeled data. (2023-08-01, Jupyter Notebook, 0KB, 下载0次)
一些Jupyter笔记本显示了对奥斯卡和电影的一些分析和预测，
Some Jupyter Notebooks showing some analysis and predictions about oscar and movies, (2017-02-08, Jupyter Notebook, 0KB, 下载0次)
科学des données Saison 4:大维度鉴定，donn e es功能内尔，异常检测，简介...
Science des données Saison 4 : Apprentissage en grande dimension, Données fonctionnelles, Détection d anomalies, Introduction au Deep Learning (2023-03-03, Jupyter Notebook, 670116KB, 下载0次)
朴素贝叶斯分类器是基于贝叶斯定理的分类算法的集合。它不是一个单一的代数...
Naive Bayes classifiers are a collection of classification algorithms based on Bayes’ Theorem. It is not a single algorithm but a family of algorithms where all of them share a common principle, i.e. every pair of features being classified is independent of each other. (2021-11-10, Jupyter Notebook, 15KB, 下载0次)
维吾尔族人的实践，他们的实践。
?e?itli kütüphaneler kullan?larak Türk?e kod a??klamalar?yla TEMEL SEV?YEDE
pratik derin ??renme uygulamalar?.
, (2022-07-31, Jupyter Notebook, 13486KB, 下载0次)
降维概述，统计学、机器学习、PCA、SVD和REF方法之间的比较，
A comparison between Statistical, Machine Learning, PCA, SVD, and REF methods
, (2022-01-13, Jupyter Notebook, 61KB, 下载0次)
scikit-learn (sklearn) 常用的机器学习，包括回归(Regression)、降维(Dimensionality
Reduction)、分类(Classfication)、聚类(Clustering)等方法
,
Skilearn is a commonly used machine learning method that includes regression, dimensionality reduction, classification, clustering, and other methods, (2022-11-28, Jupyter Notebook, 77244KB, 下载0次)
加利福尼亚州-h2a-visas-analysis，《洛杉矶时报》对外国农业工人临时签证的分析，
The Los Angeles Times analysis of temporary visas granted to foreign
agricultural workers
, (2021-03-19, Jupyter Notebook, 36949KB, 下载0次)