在这个项目中，我试图根据威斯康星州临床数据集将癌症肿瘤检测为良性或恶性
In this project i tried to detect cancer tumor as benign or melignant based on Wisconsin clinic dataset (2024-05-03, Jupyter Notebook, 0KB, 下载0次)
这是我在比努斯大学学习机器学习课程的第一份作业。它在2020年分析数据集COVID-19
This is my first assignment on Machine Learning Course taken in BINUS University. It analyzes dataset COVID-19 throughout 2020 (2024-03-02, Jupyter Notebook, 0KB, 下载0次)
RNA速度是一种高维向量，以小时为时间尺度预测单个细胞的未来状态。
RNA velocity is a high-dimensional vector that predicts the future state of individual cells on a timescale of hours. (2024-01-30, Jupyter Notebook, 0KB, 下载0次)
一些可视化化学 React空间的工具。该代码随附于论文：Andronov，Mikhail；费多罗夫，马克西姆；索斯宁…
Some tools to visualize the space of chemical reactions. This code is accompanying the paper: Andronov, Mikhail; Fedorov, Maxim; Sosnin, … (2022-05-05, Jupyter Notebook, 0KB, 下载0次)
该知识库探索了维度约简技术和分类算法在乳腺癌领域的相互作用…
This repository explores the interplay between dimensionality reduction techniques and classification algorithms in the realm of breast c… (2024-01-12, Jupyter Notebook, 0KB, 下载0次)
分析威斯康星乳腺癌（诊断）数据集，发现Kaggle上的探索性数据分析使用机器学习分类…
Analysis of the Breast Cancer Wisconsin (Diagnostic) DataSet, found on Kaggle an exploratory data analysis using machine learning classif… (2024-01-08, Jupyter Notebook, 0KB, 下载0次)
乳腺癌（威斯康星）诊断数据集包含诊断和一组描述细胞特征的30个特征...
The Breast Cancer (Wisconsin) Diagnosis dataset contains the diagnosis and a set of 30 features describing the characteristics of the cell nuclei present in the digitized image of a of a fine needle aspirate (FNA) of a breast mass. (2023-12-06, Jupyter Notebook, 0KB, 下载0次)
利用数据挖掘和机器学习算法，如决策树、朴素贝叶斯、回归、分类等来预测模型的质量...
Used Data Mining and Machine Learning Algorithms such as Decision Tree, Na?ve Bayes, regression , Classification to predict the quality of wine (2023-11-02, Jupyter Notebook, 0KB, 下载0次)
该知识库包含使用BIONIC（由多伦多大学邓肯·福斯特开发）预测...
This repository contains MSc thesis results using BIONIC (developed by Duncan Forster at The University of Toronto) for the prediction of Arabidopsis s temperature-responsive gene modules. (2023-10-30, Jupyter Notebook, 0KB, 下载0次)
这里，我们提出了一个一维卷积神经网络模型，用于使用多种谷物的光谱数据预测谷物蛋白质含量，
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals, (2022-04-07, Jupyter Notebook, 0KB, 下载0次)
ESRI仪表板示例：威斯康星州硝酸盐癌症探险家。使用Jupyter笔记本、ArcGIS Online和ESRI Experience Builder，
ESRI Dashboard example: Wisconsin Nitrate Cancer Explorer. Uses Jupyter Notebooks, ArcGIS Online, and ESRI Experience Builder, (2022-05-07, Jupyter Notebook, 0KB, 下载0次)
代码“通过将GLASS LAI同化到具有提议的贝叶斯海报的作物生长模型中来改进冬小麦产量估计...，
Code for "The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter" (2023-03-04, Jupyter Notebook, 0KB, 下载0次)
法尔马科斯世界准探险家。Python e a famosa biblioteca Pandas，utilizando diversas functionaldades da mesma pa...，
Para explorar o universo de descoberta de fármacos. Python e a famosa biblioteca Pandas, utilizando diversas funcionalidades da mesma para explorar dados do ramo de Drug Discovery. (2022-03-21, Jupyter Notebook, 0KB, 下载0次)
假设威斯康星医院想要开发一个决策支持系统来帮助诊断乳腺癌。要理解...，
Let us assume that the Wisconsin hospital wants to develop a decision support system to help the diagnosis of breast cancer. To understand the patterns that can exist in breast mass is a primary objective. (2023-01-31, Jupyter Notebook, 0KB, 下载0次)
使用威斯康星乳腺癌数据的各种分类模型的准确性比较，
A comparison of the accuracy of various classification models using Wisconsin breast cancer data, (2018-06-23, Jupyter Notebook, 0KB, 下载0次)
该项目涉及使用Jupyter笔记本中的朴素贝叶斯分类器检测乳腺癌。乳腺癌检测是至关重要的...，
This project involves detecting breast cancer using the Naive Bayes classifier in Jupyter Notebook. Breast cancer detection is a crucial task in healthcare, as it aids in the early diagnosis and treatment of the disease. Through this project, we aim to explore and understand how the Naive Bayes classifier can be used for breast cancer detection. (2023-07-08, Jupyter Notebook, 0KB, 下载0次)
与手稿相关的Python脚本和Jupyter笔记本：Simon，H.和Huttley，G.，2021联合凝聚的贝叶斯推断...，
Python scripts and Jupyter notebooks relating to the manuscript: Simon, H. and Huttley, G., 2021 Bayesian Inference of Joint Coalescence Times for Sampled Sequences. bioRxiv doi = 10.1101/2021.07.23.453461. (2023-05-24, Jupyter Notebook, 0KB, 下载0次)
根据美国国家卫生服务部，德克萨斯州新冠肺炎地区医院资源使用和疫苗接种工作...
Regional COVID-19 hospital resource usage and vaccination efforts in Texas based on Department of State Health Services data (2023-05-14, Jupyter Notebook, 3220KB, 下载0次)
covid19，2019年新型冠状病毒（新冠肺炎）传播的数据可视化，基于约翰·霍普金斯大学的数据。
covid19,Data visualizations of the spread of the 2019 novel Coronavirus (COVID-19), based on data from Johns Hopkins University. (2023-05-14, Jupyter Notebook, 6361KB, 下载0次)
covid19-mrna-降解药物，斯坦福大学组织的“开放疫苗：新冠肺炎mrna疫苗降解预测”的第四位解决方案...
Fourth place solution to the "OpenVaccine: COVID-19 mRNA Vaccine Degradation Prediction" organized by Stanford University and Kaggle (2023-05-14, Jupyter Notebook, 50KB, 下载0次)