欢迎使用我们的GitHub存储库来分析触觉娱乐公司（Tactile Entertainment）的移动益智游戏“Cookie Cats”中的玩家保留。我们的目标是确定最佳浇口放置水平，以最大限度地减少对玩家保留的影响，这对于提高玩家体验和参与度至关重要。
Welcome to our GitHub repository for analyzing player retention in the mobile puzzle game "Cookie Cats" by Tactile Entertainment. Our aim is to determine the optimal gate placement level to minimize the impact on player retention, crucial for enhancing player experience and engagement. (2024-05-04, Jupyter Notebook, 0KB, 下载0次)
在今天的数据驱动世界中，机器学习正在改变每一个可以想象的行业。从医疗保健和金融到娱乐和制造，它的应用是无限的。Learning Machine Learning为您配备了在就业市场上占据显著优势的技能，并为激动人心的职业机会打开了大门。。
In today s data-driven world, Machine Learning is transforming every industry imaginable. From healthcare and finance to entertainment and manufacturing, its applications are limitless. Learning Machine Learning equips you with the skills to give you a significant edge in the job market and open doors to exciting career opportunities.. (2024-04-26, Jupyter Notebook, 0KB, 下载0次)
使用此工具将微信聊天转换为视觉见解。在视觉迷人的图表中探索聊天频率、主题趋势和情感动态。非常适合任何想要发现隐藏在聊天历史中的模式和故事的人。
Transform your WeChat chats into visual insights with this tool. Explore chat frequencies, topic trends, and emotional dynamics in visually engaging charts. Perfect for anyone looking to uncover patterns and stories hidden in their chat histories. (2024-04-03, Jupyter Notebook, 0KB, 下载0次)
“探索对44种脑肿瘤类型进行分类的MRI图像的rad集合！从星形细胞瘤到胶质母细胞瘤，我们的数据集具有T1、对比度T1和T2图像，非常适合ML爱好者和医学研究人员。没有患者ID，只有医生解释的酷酷扫描。投入到脑力娱乐和学习中吧！”
"Explore a rad collection of MRI images categorizing 44 brain tumor types! From astrocytoma to glioblastoma, our dataset features T1, contrast T1, and T2 images, perfect for ML enthusiasts and medical researchers. No patient IDs, just cool scans interpreted by doctors. Dive in for brainy fun and learning!" (2024-02-24, Jupyter Notebook, 0KB, 下载0次)
欢迎来到我们的Python课程，该课程专为有兴趣从事数据科学或人工智能职业的初学者设计。我受到了伟大导师的启发#感谢JMM Technology的高级数据科学家Sikandermir爵士、DigiTech Synergy的首席执行官Waqas爵士和Wajuullah Bukhari爵士。
Welcome to our Python course designed specifically for beginners who are interested in pursuing a career in Data Science or AI.. I am inspired by my great mentors # Thanks to Sir Sikandermir Senior Datascientist at JMM Technology , Sir Waqas CEO of DigiTech Synergy & Sir Wajiullah Bukhari. (2024-02-08, Jupyter Notebook, 0KB, 下载0次)
该项目是关于使用机器学习和自然语言处理方法来分析新闻文章的数据集，这些文章被分为五个类别：政治、体育、科技、娱乐和商业。目标是构建能够根据新文章的内容准确地为其分配标签的模型。
The project is about using machine learning and natural language processing methods to analyze a dataset of news articles that are classified into five categories: politics, sport, tech, entertainment, and business. The objective is to build models that can accurately assign labels to new articles based on their content. (2024-02-07, Jupyter Notebook, 0KB, 下载0次)
探索Python Project100，这是一个由100个用于学习和娱乐的Python.项目组成的集合。这个存储库是我们编码旅程的一部分，在这里我们深入研究各种Python概念、数据分析和实际应用程序。在我们构建、学习和分享Python创作的过程中，加入我们的冒险之旅。快乐编码！
Explore Python Project100, a collection of 100 engaging Python projects designed for learning and fun. This repository is part of our coding journey, where we delve into various Python concepts, data analysis, and practical applications. Join us on this adventure as we build, learn, and share our Python creations. Happy coding! (2023-12-27, Jupyter Notebook, 0KB, 下载0次)
万维网用户的迅速增加和对带宽要求高的服务的发展导致互联网用户的响应时间大幅增加。
The rapid increase of World Wide Web users and the development of services with high bandwidth requirements have caused a substantial increase in response times for users on the Internet. (2023-12-19, Jupyter Notebook, 0KB, 下载0次)
这是一个用于2013年至2023年范围文本挖掘的文本挖掘文件。它用美丽的汤刮网来收集抽象的茶汤...
This is a text mining file for scopus text mining from 2013 to 2023. It uses Web Scrapping with Beautiful Soup to collect the abstract text and keyword. The Algorithm i used is Word2Vec to Generate word embedding and analogies reasoning, keyBERT to make keyword extraction, and K-Means Cluster to make cluster graph between words and elbow graph. (2023-11-27, Jupyter Notebook, 0KB, 下载0次)
在这项研究中，我们提出了一种利用挤压和激发密度网（SEDenseNet）架构来促进肾脏疾病的治疗的方法...
In this study, we present an approach that utilizes the Squeeze and Excitation DenseNet (SEDenseNet) architecture to advance kidney disease analysis through image processing. The obtained outcome, specifically the accuracy rate, has been measured at an impressive 99.56%. (2023-11-22, Jupyter Notebook, 0KB, 下载0次)
我的数学建模学习笔记。包含老哥网课《Python在数学建模中的应用》代码。老哥数学建模常用的30个常用算法正在更新中。。
My notes on mathematical modeling. Including the code of Brother s online course "Application of Python in Mathematical Modeling". Brother, 30 commonly used algorithms for mathematical modeling are being updated.. (2022-10-04, Jupyter Notebook, 0KB, 下载0次)
我们爬取了链家官网中上海的成交房源17万+个,以及上海的小区售房情况10000+个,分别用reptile.ipynb以及小区.ipynb代码进行爬取。随后我们对爬取的数据进行处理分析,分别是数据处理_小区.ipynb以及数据处理_房源...
We crawled more than 170000 houses sold in Shanghai and more than 10000 houses sold in communities in Shanghai from the official website of LinkedIn. We crawled through the codes of reptile.ipynb and. ipynb respectively. Then we processed and analyzed the crawl data, namely data processing_ Cell. ipynb and data processing_ Listing (2019-07-08, Jupyter Notebook, 330KB, 下载0次)
洁净室有线电视新闻网：训练了一个卷积神经网络的脏和干净的厨房，浴室和客厅的图像...
Clean Room CNN: Trained a Convolutional Neural Network on images of dirty and clean kitchen, bathrooms and living rooms with objective of being able to classify a room as dirty of clean. (2019-04-22, Jupyter Notebook, 47KB, 下载0次)
美国有线电视新闻网（CNN）的一个项目使用来自帕特拉大学（University of Patras）SOBER DRUNK数据库的红外人脸图像来对数据进行分类...
A CNN project using infrared facial images from the SOBER DRUNK DATA BASE from the University of Patras to classify drunkeness. (2022-12-08, Jupyter Notebook, 971619KB, 下载0次)
经过功能工程，我们能够从音频中生成婴儿哭泣和其他声音的图像。这里是美国有线电视新闻网...
After feature engineering we were able to generate images of cry and other voices of babies from audio. This is CNN model which classifies the baby cry and silence voice. (2019-12-21, Jupyter Notebook, 47KB, 下载0次)
利用Jupyter笔记本从医学新闻网站上抓取了8000多篇文章，并使用了聚类和LDA主题管理...
Utilized Jupyter Notebooks to scrape over 8,000 articles from a medical news site and used clustering and LDA topic modeling techniques (2023-05-04, Jupyter Notebook, 609KB, 下载0次)
这个存储库包含我对TGS盐识别挑战的解决方案。我已经使用U-net有线电视新闻网进行这项研究...
This repository contains my solution to the TGS salt identification challenge. I have used using U-net CNN for this image segmentation of the seismic images provided . Frameworks used-Tensorflow, torch/Pytorch, Keras (2018-11-10, Jupyter Notebook, 186KB, 下载0次)
financial_data_analysis,网易微专业《数据分析师》金融量化分析部分,课程代码与单因子分析模型考核,使用米筐平台
financial_ data_ Analysis, part of the financial quantitative analysis section of NetEase s micro major "Data Analyst", course code and single factor analysis model assessment, using the Mi Lan platform (2020-08-20, Jupyter Notebook, 1176KB, 下载0次)
COVID-XS，基于美国有线电视新闻网（CNN）的深度学习，用于从X射线图像中检测新冠肺炎。深度学习部署在AWS IoT GreenGrass...
CNN based Deep Learning for Detecting COVID-19 from X-Ray images.The Deep Learning is deployed in AWS IoT GreenGrass with Xilinx ZCU104 as Edge Device. (2023-05-14, Jupyter Notebook, 51130KB, 下载0次)
EmotionNet Nano一种用于实时面部表情的高效深度卷积神经网络设计，我们对EmotionNetNano的实现：一种用于即时面部表情的有效深度卷积神经网设计...
Our implementation to EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition paper (2021-02-01, Jupyter Notebook, 344KB, 下载0次)