估计星系形态参数贝叶斯后验的ML框架
ML framework to estimate Bayesian posteriors of galaxy morphological parameters (2024-03-19, Jupyter Notebook, 0KB, 下载0次)
用维基百科的每日页面访问计数和搜索主题的Python分析更新了该项目。在清理和操作数据后，此提交提供了对用户参与趋势的见解。这项工作简明扼要地介绍了受众如何与维基百科互动，利用Python进行数据驱动的见解。
Updated the project with a Python analysis of Wikipedia s Daily Page Visit Count and Search Topics. After cleaning and manipulating the data, this commit offers insights into user engagement trends. The work provides a concise look at how audiences interact with Wikipedia, leveraging Python for data-driven insights. (2024-02-05, Jupyter Notebook, 0KB, 下载0次)
数据科学分析与数据集“口袋妖怪”段落达托斯基地3
Tareas de data science analizando el dataset de "Pokemon" para Base de Datos 3 (2023-11-26, Jupyter Notebook, 0KB, 下载0次)
基于GPytorch的高斯过程的测试代码，以及解决回归问题的贝叶斯优化结构。
Test codes for GPytorch based Gaussian Processes, and Bayesian Optimization structure solving regression problems. (2023-11-10, Jupyter Notebook, 0KB, 下载0次)
数据科学分析与数据集“口袋妖怪”段落达托斯基地3
Tareas de data science analizando el dataset de "Pokemon" para Base de Datos 3 (2023-11-05, Jupyter Notebook, 0KB, 下载0次)
该存储库主要专注于记录我在洪都拉斯国立奥托诺马大学（Universidad Nacional Autónoma de Ho都拉斯）期间完成的Python数据科学和机器学习入门课程中的课程工作。
This repository primarily focuses on documenting my coursework in an Introductory Data Science and Machine Learning in Python course that I completed during my stay at the Universidad Nacional Autónoma de Honduras. (2023-09-22, Jupyter Notebook, 0KB, 下载0次)
使用高斯过程通过粒子分离器进行调整的贝叶斯优化。，
Bayesian optimization using a Gaussian process to tune through particle separator., (2021-07-02, Jupyter Notebook, 0KB, 下载0次)
NeurIPS 2021论文的代码：“带分布式探索的差分私有联合贝叶斯优化”，
Code for the NeurIPS 2021 paper: "Differentially Private Federated Bayesian Optimization with Distributed Exploration", (2021-11-03, Jupyter Notebook, 0KB, 下载0次)
AdaptiFont:使用生成字体模型和贝叶斯优化提高个人阅读速度的论文库，
Repository for the paper on AdaptiFont: Increasing individuals’ reading speed with a generative fontmodel and Bayesian optimization, (2021-07-01, Jupyter Notebook, 0KB, 下载0次)
论文中的复制实验代码，具有多个结果的有效贝叶斯优化的偏好探索，公共...，
Code for replicating experiments from the paper, Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes, published in AISTATS 2022. (2023-06-22, Jupyter Notebook, 0KB, 下载0次)
尼日利亚拉各斯分离式复式公寓价格预测的线性回归模型。，
Linear Regression model to predict the price of Detached Duplex in Lagos, Nigeria., (2023-09-06, Jupyter Notebook, 0KB, 下载0次)
利用维达词汇情感分析来确定唐纳德·特朗普（Donald Trump）推文的主要趋势和参与度。
Utilizes vader lexicon sentiment analysis to identify major trends and engagement of Donald Trump s Tweets. (2018-11-20, Jupyter Notebook, 0KB, 下载0次)
布拉迪斯拉发FIIT STU智能数据分析（IAU_B）2021 2022
Intelligent Data Analysis (IAU_B) 2021 2022 @ FIIT STU in Bratislava (2023-03-05, Jupyter Notebook, 5909KB, 下载0次)
布拉迪斯拉发FIIT STU智能数据分析（IAU_B）2022 2023
Intelligent Data Analysis (IAU_B) 2022 2023 @ FIIT STU in Bratislava (2023-05-05, Jupyter Notebook, 57011KB, 下载0次)
布拉迪斯拉发FIIT STU智能数据分析（IAU_B）2020 2021
Intelligent Data Analysis (IAU_B) 2020 2021 @ FIIT STU in Bratislava (2023-03-05, Jupyter Notebook, 5930KB, 下载0次)
垃圾邮件分类器，一个使用Logistic、SVM、朴素贝叶斯、随机森林、XGBoost、LightGBM的简单垃圾邮件分类器，
A Simple Spam Classifier using Logistic, SVM, Naive Bayes, Random Forest,
XGBoost, LightGBM
, (2019-08-23, Jupyter Notebook, 630KB, 下载0次)
blue_orchid.github.io，结合维基百科API、scraphing、spacy和sklearn，以7种语言创建任意主题的临时文本分类器，
Combining wikipedia API, scrapping, spacy and sklearn to create ad hoc text
classifier on any topic in 7 languages
, (2020-05-18, Jupyter Notebook, 62KB, 下载0次)
文本分类、使用多项式朴素贝叶斯的文本分类（在python3中从头开始实现），
Text Classification using Multinomial Naive Bayes (implemented from scratch in
python3)
, (2019-12-30, Jupyter Notebook, 30100KB, 下载0次)
新闻分类，一种不使用NLTK和Scipy的多项式朴素贝叶斯分类器的手动实现，
A manual implementation of Multinomial Naive Bayes Classifier without use of
NLTK and Scipy
, (2019-05-01, Jupyter Notebook, 7640KB, 下载0次)
scipy2022贝叶斯时间序列，统计模型中时间序列的贝叶斯估计和预测，scipy2022会议，
Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy
2022 conference
, (2022-07-11, Jupyter Notebook, 1214KB, 下载0次)