这是芝加哥大学MACS 30123“社会科学的大规模计算”2024年春季迭代的课程库。
This is the course repository for the Spring 2024 iteration of MACS 30123 "Large-Scale Computing for the Social Sciences" at the University of Chicago. (2024-05-11, Jupyter Notebook, 0KB, 下载0次)
使用Pandas分析伊斯坦布尔比尔基大学伊拉斯谟项目数据，进行数据操作、清理和统计分析。探索接受率、补助金分配、奖学金类型、国家安置和部门统计。
Analyzed Istanbul Bilgi University Erasmus program data using Pandas for data manipulation, cleaning, and statistical analysis. Explored acceptance rates, grant distributions, scholarship types, country placements, and departmental statistics. (2024-03-30, Jupyter Notebook, 0KB, 下载0次)
数据集大小对贝叶斯优化的影响，来自QM9数据集的见解
The Impact of Dataset Size on Bayesian Optimization, Insights from the QM9 Dataset (2024-03-28, Jupyter Notebook, 0KB, 下载0次)
人脸识别中面向梯度直方图（HOG）参数的贝叶斯优化
Bayesian Optimization of Histogram of Oriented Gradients (HOG) parameters for Facial Recognition (2024-03-24, Jupyter Notebook, 0KB, 下载0次)
有效优化Android机器人的面部表情：贝叶斯优化方法，Humanoid 2022
Optimizing Facial Expressions of an Android Robot Effectively: a Bayesian Optimization Approach, Humanoid 2022 (2024-02-03, Jupyter Notebook, 0KB, 下载0次)
该项目的成果是专门开发的Streamlit web应用程序，用于预测新加坡的转售均价。该应用程序允许用户输入与新加坡公寓相关的一系列特征，然后通过机器学习模型生成预测。
The outcome of this project is a Streamlit web application specifically developed for the purpose of predicting resale flat prices in Singapore. The application allows users to enter a range of characteristics pertaining to flats in Singapore and then generates predictions via a machine learning model. (2023-11-14, Jupyter Notebook, 0KB, 下载0次)
ConflictNet的Repsetory。基于递推-近似贝叶斯-Unet的冲突预测网络。
Repsetory for ConflictNet. A conflict forecasting network based on a recurrent - approximate baysian - Unet. (2023-11-01, Jupyter Notebook, 0KB, 下载0次)
Text_and_Wikipedia_Summeriser是一款Streamlit应用程序，可用于总结文本或维基百科文章。，
Text_and_Wikipedia_Summeriser is a Streamlit app that can be used to summarize text or Wikipedia articles., (2023-09-18, Jupyter Notebook, 0KB, 下载0次)
这是将贝叶斯优化应用于铁磁薄膜开发的示例代码。，
This is example code for applying Bayesian Optimization to ferromagnetic thin film development., (2021-11-15, Jupyter Notebook, 0KB, 下载0次)
NHL守门员拉动结果的贝叶斯建模（5对6目标），
Bayesian modeling of NHL goalie pull outcomes (5 on 6 goals), (2021-01-15, Jupyter Notebook, 0KB, 下载0次)
化学应用中已知实验和设计约束的贝叶斯优化结果，
Results for Bayesian optimization with known experimental and design constraints for chemistry applications, (2022-08-27, Jupyter Notebook, 0KB, 下载0次)
NeurIPS2020上迭代学习贝叶斯优化（BOIL）的发布代码，
Release code for Bayesian Optimization for Iterative Learning (BOIL) at NeurIPS2020, (2022-05-08, Jupyter Notebook, 0KB, 下载0次)
这是一个数据分析项目，旨在利用python和Library提取关于新加坡环境的有用和有见解的信息...，
This was a data analysis project to extract useful and insightful information on the environment in Singapore utilizing python and libraries such as Pandas, Numpy, Matplotlib, Seaborn, Plotly, and Statsmodels. (2023-08-28, Jupyter Notebook, 0KB, 下载0次)
贝叶斯推理中的MCMC实现，该存储库包含一个围绕蒙特卡罗方法的实现的项目，用于减少贝叶斯推理的方差...
This repository contains a project around the implementation of Monte Carlo s Methods for reducing the variance of a model and an expension of its use thanks to markov s chains (MCMC) in Bayesian inference for approximating a parameter (2021-10-11, Jupyter Notebook, 269KB, 下载0次)
NLP_Analysis_Amazon_Reviews，朴素贝叶斯分类器，神经网络，逻辑回归，随机森林，XGboost，
Naive Bayes Classifier, Neural Network , Logistic Regression, Random Forest
,XGboost
, (2020-10-18, Jupyter Notebook, 5329KB, 下载0次)
以燕尾花、波士顿房价为数据集进行常见的分类、预测、降维、聚类等项目。
,
Skilearn Final Demo uses swallowtail and Boston house prices as datasets for common classification, prediction, dimensionality reduction, clustering, and other projects, (2020-06-27, Jupyter Notebook, 924KB, 下载0次)
使用Python和sklearn对时间序列数据进行无监督异常检测。包括Kmeans聚类、高斯椭圆包络法和马尔可夫链。深受以下启发：<https:github.com维卡姆无监督_正常_检测>
使用Python和sklearn对时间序列数据进行无监督异常检测。包括Kmeans聚类、高斯椭圆包络法和马尔可夫链。深受以下启发：<https:github.com维卡姆无监督_正常_检测> (2018-12-12, Jupyter Notebook, 883KB, 下载0次)
该项目展示了使用主成分分析对sklearn的MNIST数据集进行降维背后的数学。
This project demonstrates the mathematics behind dimensionality reduction
using Principal Component Analysis performed on MNIST dataset from sklearn.
, (2021-04-17, Jupyter Notebook, 1371KB, 下载0次)
“买房是一件有压力的事情。”我们使用先进的回归技术建立了一个模型来预测爱荷华州埃姆斯的住宅价格。这个模型将为买家提供房屋实际价值的粗略估计。我们首先分析了数据，以找到趋势。然后对数据集u进行降维处理...
"Buying a house is a stressful thing." We built a model to predict the prices of residential homes in Ames, Iowa, using advanced regression techniques. This model will provide buyers with a rough estimate of what the houses are actually worth. We first analyzed the data to find trends. Then dimensionality reduction was performed on the dataset (2017-09-19, Jupyter Notebook, 1173KB, 下载0次)
Python俱乐部，Python俱乐部@曼彻斯特生物技术研究所，
python club @ the manchester institute of biotechnology
, (2021-06-02, Jupyter Notebook, 28240KB, 下载0次)