Jupyter笔记本，使用seaborn和folium等库对2017年至2023年芝加哥的犯罪进行数据分析和数据可视化
A Jupyter Notebook with the data analysis and data visualization of crimes in Chicago from 2017 to 2023 using libraries such as seaborn and folium (2024-05-01, Jupyter Notebook, 0KB, 下载0次)
具有深度学习的莫尔斯码解码器和检测器
Morse Code Decoder & Detector with Deep Learning (2024-04-02, Jupyter Notebook, 0KB, 下载0次)
问答论文讨论了数据科学算法（k-NN分类器和朴素贝叶斯分类器）
The question-answer paper discusses Data Science Algorithms (k-NN classifier & Naive Bayes classifier) (2024-03-30, Jupyter Notebook, 0KB, 下载0次)
一种新的SMS垃圾邮件检测模型一种优化ML和DL算法的贝叶斯优化方法
A New SMS Spam Detection Model A Bayesian Optimization Approach for Optimized ML and DL Algorithms (2024-03-14, Jupyter Notebook, 0KB, 下载0次)
使用网格搜索、随机搜索和贝叶斯优化对糖尿病数据集进行机器学习模型训练。
Training Machine Learning Models with grid search,random search and Bayesian Optimization with a diabetes dataset. (2024-03-12, Jupyter Notebook, 0KB, 下载0次)
哈瓦德教授乔乔·莫拉伊尔（jojo moolayil）的一本书中的勒拉宁·卡拉斯（Leraning keras）
Leraning keras from a book by jojo moolayil a harvad proffersor (2024-03-03, Jupyter Notebook, 0KB, 下载0次)
观察如何使用贝叶斯优化来优化y差异和相关性差异，以产生更接近但具有...
Observing how using bayesian optimization to optimize for y difference and relevance difference produce features that are closer yet have a larger change in y. (2023-11-03, Jupyter Notebook, 0KB, 下载0次)
会议论文发表：“学生s-t过程贝叶斯优化的置信界最小化”（第三届国际会议...，
Conference paper published: "Confidence Bound Minimization for Bayesian optimization with Student s-t Processes" (3rd International Conference on Applications of Intelligent Systems (APPIS 2020), 7th-9th January 2020 in Las Palmas de Gran Canaria, Spain) (2021-01-04, Jupyter Notebook, 0KB, 下载0次)
使用贝叶斯优化将图像的主颜色转换为音乐，Python 2020，
Use Bayesian optimization to convert image s main color into music, Python 2020, (2020-09-07, Jupyter Notebook, 0KB, 下载0次)
医学成像逆问题的后验温度优化贝叶斯模型，Laves等人（2022），医学图像分析，
Posterior temperature optimized Bayesian models for inverse problems in medical imaging, Laves et al. (2022), Medical Image Analysis, (2021-08-24, Jupyter Notebook, 0KB, 下载0次)
“股价预测：特斯拉案例研究”是一个旨在学习并为个人兴趣提供有价值见解的项目...，
"Stock Price Prediction: Tesla Case Study" is a project designed for both learning and offering valuable insights to individuals interested in understanding and forecasting stock market trends. (2023-09-10, Jupyter Notebook, 0KB, 下载0次)
这是一个探索性数据分析项目，使用Pandas、Seaborn、NumPy、Matplotlib和Python，使用从维基百科抓取的过山车数据库。
This is an exploratory data analysis project using Pandas, Seaborn, NumPy, Matplotlib and Python using Roller Coaster Database scraped from Wikipedia. (2023-09-01, Jupyter Notebook, 0KB, 下载0次)
在这个存储库中，我打算使用朴素贝叶斯算法来确定“validati...，
In this repository, I intend to use the Na?ve Bayes algorithm to determine the accuracy percentage of number recognition in the "validationimages" test data. Additionally, the Central Limit Theorem (CLT) is also examined for a specific dataset. (2023-08-22, Jupyter Notebook, 0KB, 下载0次)
使用常规赛统计数据、球队统计数据和历史结果预测斯坦利杯结果。
Predicting Stanley Cup outcomes using regular season game statistics, team statistics, and historical outcomes. (2023-08-11, Jupyter Notebook, 0KB, 下载0次)
利用EDA和PCA对154个特征的世界银行数据集进行了深入分析，以降低维数。精心设计的新功能...，
Conducted in-depth analysis of a 154-feature World Bank dataset, employing EDA and PCA for dimensionality reduction. Engineered new features for enhanced model compatibility. Trained 3 ML models, explaining outcomes through XAI and SHAP. Result: refined data, transparent insights, and improved financial analysis capabilities. (2023-08-09, Jupyter Notebook, 0KB, 下载0次)
包含埃塞克斯大学提供的数据科学模块笔记本的存储库。
Repository containing the notebooks for the Data Science modules delivered at the University of Essex. (2023-03-17, Jupyter Notebook, 0KB, 下载0次)
本项目是关于三种基于因式分解的图嵌入技术：拉普拉斯特征映射、柯西嵌入和因式分解图，
This project is about three Factorization-based graph embedding techniques : Laplacian eigenmaps, Cauchy embeddings and Factorization Graph, (2018-04-21, Jupyter Notebook, 0KB, 下载0次)
John K.Kruschke第二版《进行贝叶斯数据分析》中描述的Python PyMC3版本的程序
Python PyMC3 versions of the programs described in Doing Bayesian Data Analysis, 2nd edition by John K. Kruschke (2016-12-02, Jupyter Notebook, 4411KB, 下载0次)
bike_sharing_demand_prediction，为Aish的新加坡国立大学客座讲座准备的项目，为IE5105 Mod的硕士生提供真实世界中的机器学习...
Project prepared for Aish s NUS guest lecture Machine Learning in the Real World for Masters students in IE5105 Modeling for Supply Chain Systems course (2022-08-17, Jupyter Notebook, 5203KB, 下载0次)
团队项目：贾斯汀·埃文斯和伊维特·伊瓦拉；收集、清理和分析2017年Zillow的数据，使用聚类来改进Zestimate模型，该模型旨在根据可用的房地产数据预测独栋房产的房屋销售价值。
Team Project: Justin Evans & Yvette Ibarra; Collect, clean and analyze Zillow
data from 2017, use clustering to improve the Zestimate model that was
designed to predict the Home Sale Value for Single Family Properties based on
available real-estate data.
, (2022-12-05, Jupyter Notebook, 19205KB, 下载0次)