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)
使用人工智能提供高级客户细分的项目。使用K-modes算法，根据行为、人口统计学和习惯对客户进行分组。这些细分市场有助于企业优化其营销战略。
A project providing advanced customer segmentation using artificial intelligence. Customers are grouped based on behavior, demographics, and habits using the K-modes algorithm. These segments assist businesses in optimizing their marketing strategies. (2024-03-18, Jupyter Notebook, 0KB, 下载0次)
使用电子商务趋势数据探索客户偏好。揭示人口统计学、购买历史和消费者选择，以优化营销并提高满意度，这可能有助于重塑企业与其受众的联系方式。
Explore customer preferences with e-commerce trends data. Uncover demographics, purchase history, and consumer choices to optimize marketing and boost satisfaction, which could help reshape how businesses connect with their audience. (2024-03-03, Jupyter Notebook, 0KB, 下载0次)
从给定的两个基于企业名称和地址信息的数据集中，我们需要使用匹配算法从具有置信度的两个数据集中找出匹配记录
From the given two datasets based on businesses names and address information, we need to use a matching algorithm to find out the matching records from both the datasets with a confidence score (2024-02-29, Jupyter Notebook, 0KB, 下载0次)
NKU计网学院各个课程作业(人智导论,数据库,算法,计算方法,计组,软件安全,信安数基,毛概,计网,操作系统,编译,区块链,密码学,恶意代码,大数据)
Various course assignments of NKU Network Institute (introduction to human intelligence, database, algorithm, calculation method, group planning, software security, information security data base, gross estimate, network planning, operating system, compilation, blockchain, cryptography, malicious code, big data) (2024-02-18, Jupyter Notebook, 0KB, 下载0次)
“使用机器学习技术开发信用卡欺诈检测系统，以识别和防止欺诈交易，确保用户和企业金融交易的安全性和完整性。”
"Developing a credit card fraud detection system using machine learning techniques to identify and prevent fraudulent transactions, ensuring the security and integrity of financial transactions for users and businesses." (2024-02-18, Jupyter Notebook, 0KB, 下载0次)
利用机器学习算法分析与企业中的资源消耗、废物产生和能源使用相关的大型数据集。预测和量化特定业务运营和实践的环境影响。
Utilize machine learning algorithms to analyze large datasets related to resource consumption, waste generation, and energy usage in businesses. Predict and quantify the environmental impact of specific business operations and practices. (2024-02-03, Jupyter Notebook, 0KB, 下载0次)
留住客户对于持续增长和盈利至关重要。“ChurnPredict Pro”是一个前沿的数据驱动项目，帮助企业有效地识别和预测客户流失。
Retaining customers is paramount for sustained growth and profitability. "ChurnPredict Pro" is a cutting-edge data-driven project help businesses identify and predict customer churn effectively. (2024-01-31, Jupyter Notebook, 0KB, 下载0次)
该数据科学项目为企业提供了一个强大的工具，使其能够更深入地了解其客户群，从而使他们能够根据市场不断变化的动态做出明智的决策。
This data science project acts as a powerful tool for businesses to gain a deeper understanding of their customer base, enabling them to make informed decisions that align with the evolving dynamics of the market. (2024-01-07, Jupyter Notebook, 0KB, 下载0次)
设计并实现了一个使用NLP和Yelp评论的机器学习的高精度情感分析系统，在情感分类中实现了82%以上的准确性，为企业提供了可操作的见解。
Designed and implemented a high-accuracy sentiment analysis system using NLP and machine learning on Yelp reviews, achieving over 82% accuracy in sentiment classification, providing actionable insights for businesses. (2024-01-01, Jupyter Notebook, 0KB, 下载0次)
这是对通过一项关于司机及其接受针对当地企业的优惠券倾向的调查收集的数据的分析。这是通过伯克利为我的ML AI证书提供的。
This is an analysis of data gathered via a survey about drivers and their propensity to accept coupons targeted to local businesses. This is deliverable for my Certificate in ML AI through Berkeley. (2023-12-28, Jupyter Notebook, 0KB, 下载0次)
情绪分析是将客户的评论或评论分类为积极、消极和中立。大多数企业分析...，
Sentiment analysis is the classification of a customer s reviews or comments as positive, negative, and neutral. Most businesses analyze their customers feelings about their products or services to find out what their customers want from them. (2022-06-23, Jupyter Notebook, 0KB, 下载0次)
算法交易是在金融市场中使用算法来做出交易决策。摩根大通是使用算法交易进行投资决策的企业之一。
Algorithmic Trading is the use of algorithms in the financial market to make trading decisions. JP Morgan Chase & Co. is one of the businesses that use Algorithmic Trading for investment decisions. (2023-08-20, Jupyter Notebook, 0KB, 下载0次)
由模型组织的最先进的深度学习脚本-易于在企业级基础架构上进行训练和部署，具有可复制的准确性和性能。
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure. (2023-08-03, Jupyter Notebook, 0KB, 下载0次)
小明同学在使用电脑上网课的时候突然电脑黑屏出现故障,小明突发奇想,对于电脑故障类问题,是否能提前预知,这样就可以在更加重要的时刻提前做应对。 无独有偶,在实际的商业生产中,无法预知的硬件故障,往往会给企业带来很大经济损失,如企业服务器在重大线上活动期间出现故障导致损失以及数...,
When Xiao Ming was using the computer to surf the Internet in class, the black screen of the computer suddenly broke down. Xiao Ming suddenly wondered whether he could predict in advance the problems such as computer failures, so that he could respond in advance at a more important time. Coincidentally, in actual commercial production, unpredictable hardware failures often cause great economic losses to enterprises, such as the failure of enterprise servers during major online activities, resulting in losses of, (2023-07-09, Jupyter Notebook, 0KB, 下载0次)
IS434 20《最美味项目-社交数据分析》（Most Yummy Project-Social data analysis）获奖者，一位流行的食品和食品影响力推荐者，您的食品企业必须拥有的！
IS434 20 Winner of Most Yummy Project - Social data analysis, a trending food and food influencer recommender, a must have for your food business! (2020-07-20, Jupyter Notebook, 0KB, 下载0次)
对于预算有限的小型企业，对于初学者、新入职的学生...
Data exploration is an artful process of sifting over through the dataset and extracting meaningful insights from it. In a machine learning process, the data understanding phase consumes most of the time, making it a major bottleneck for many applications and Automated Machine Learning (Auto ML) platforms. Data exploration is hard as we do not (2021-03-06, Jupyter Notebook, 883KB, 下载0次)
该项目强调了企业和社会面临的主要风险，包括信贷、市场、运营、战略...
This project highlights the major risks faced by business and society including credit, market, operational, strategic, reputation and enterprise- wide management risk. Drawing on actual events, several application of data analysis techniques using Python to model the market conditions during the Great Depression. Historical and economic (2022-06-14, Jupyter Notebook, 1965KB, 下载0次)
Company_Classification，Company_Cclassification_聚类问题声明：我们得到了各种企业和公司的网络抓取数据...
Company_Classification_Clustering Problem Statement : We are given with web scraped data of various businesses and companies. We need to somehow categorize these businesses and companies across a standard taxonomy (consists of term names and labels that are specific to an organization s information and unique to how that business operates). So (2021-06-15, Jupyter Notebook, 12805KB, 下载0次)
E2E准备部署将认知（企业）搜索与OpenAI相结合的解决方案架构，以搜索相关信息，然后总结内容，以简洁明了的方式呈现给用户。
E2E ready to deploy solution architecture combining Cognitive (Enterprise)
Search with OpenAI to search for relevant information and then to summarize
the content to present to the user in a concise and succinct manner.
, (2023-04-06, Jupyter Notebook, 147KB, 下载0次)