本项目的目的是在Jupyter笔记本中使用Python分析2020年和2021年的体育销售数据。通过合并、清理和可视化数据，我们旨在揭示对区域销售模式、零售商绩效和产品趋势的见解。该分析可以应用于寻求优化销售的零售企业。
The purpose of this project is to analyze athletic sales data from 2020 and 2021 using Python within Jupyter Notebook. By combining, cleaning, and visualizing the data, we aim to uncover insights into regional sales patterns, retailer performance, and product trends. This analysis can be applied to retail businesses seeking to optimize sales. (2024-04-17, Jupyter Notebook, 0KB, 下载0次)
在当今艰难的商业世界中，公司需要有用的见解来增长和赚钱。但如果没有数据分析，做出决策可能会很困难。该项目旨在查看销售和利润数据，以发现改进的趋势和机会。利用这些见解，企业可以改进战略并领导市场。
In today s tough business world, companies need useful insights to grow and make money. But without data analysis, making decisions can be hard. This project aims to look at sales and profit data to find trends and chances for improvement. Using these insights, businesses can improve strategies and lead the market. (2024-03-03, Jupyter Notebook, 0KB, 下载0次)
“SmartCart”是一款尖端的电子商务工具，它利用预测分析来提供个性化购物建议和优化库存管理，专为旨在提高客户参与度和销售的企业量身定制。
"SmartCart" is a cutting-edge e-commerce tool that leverages predictive analytics to provide personalized shopping recommendations and optimize inventory management, tailored for businesses aiming to enhance customer engagement and sales . (2024-02-08, Jupyter Notebook, 0KB, 下载0次)
使用Python分析购物趋势数据可以为企业和零售商做出明智的决策提供有价值的见解。下面是一个项目描述，概述了使用Python的购物趋势数据分析项目的关键步骤和组件。
Analyzing shopping trends data using Python can provide valuable insights for businesses and retailers to make informed decisions. Below is a project description that outlines the key steps and components of a shopping trends data analysis project using Python. (2024-01-27, Jupyter Notebook, 0KB, 下载0次)
欢迎来到存储库，在这里学习Python超越了传统教育的界限。在这里，您将发现我在Python编程会话中精心编制和使用的注释、示例和真实世界类比的全面集合。这些资源为上海华侨城3000多名学生照亮了编程之路
Welcome to the repository where learning Python transcends the boundaries of traditional education. Here, you ll find a comprehensive collection of notes, examples, and real-world analogies that I ve meticulously crafted and used in my Python programming sessions. These resources have illuminated the path of programming for over 3000 students ofSWC (2023-12-23, Jupyter Notebook, 0KB, 下载0次)
智能小工具和万维网的日益集成突出了物联网（IoT）技术在我们日常生活中的重要性。这些技术通过提供对机械状态、产品卓越性和环境事实的实时监控，在支持制造企业方面发挥着关键作用
The growing integration of intelligent gadgets and the World Wide Web has underscored the significance of Internet of Things (IoT) technologies in our everyday existence. These technologies play a crucial role in supporting manufacturing enterprises by providing real-time supervision of machinery statuses, product excellence, and environmental fact (2023-12-23, Jupyter Notebook, 0KB, 下载0次)
根据分析，该项目提供了两个解决方案——[i]为最终用户（告诉他们哪个OTT平台及其订阅计划适合他们）和[ii]为企业（帮助制片公司确定应该在哪个OTT上发布电影）。
This project provides 2 solutions – [i] for end users (tells them which OTT Platform & its subscription plan would be suitable for them) and, [ii] for businesses (helps a production house to determine which OTT it should release its movie on) – based on the analysis. (2023-10-19, Jupyter Notebook, 0KB, 下载0次)
该数据科学项目深入研究失业趋势，使用数据分析和机器学习来确定关键因素并预测未来的失业率，帮助决策者和企业做出明智的决策。
This data science project delves into unemployment trends, using data analysis and machine learning to identify key factors and predict future joblessness rates, aiding policymakers and businesses in informed decision-making. (2023-09-23, Jupyter Notebook, 0KB, 下载0次)
该项目旨在使用人工神经网络（ANN）预测企业中的客户流失。客户流失，也称为客户流失，发生在客户停止与公司做生意时。预测和防止客户流失对于维护健康的客户群至关重要。
This project aims to predict customer churn in a business using an Artificial Neural Network (ANN). Customer churn, also known as customer attrition, occurs when customers stop doing business with a company. Predicting and preventing churn is crucial for maintaining a healthy customer base. (2023-09-17, 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)
对来自芝加哥数据门户的数据执行ETL。通过清理然后将芝加哥记录的企业主数据与该城市的有效营业执照合并。
Performed ETL on data from the Chicago Data Portal. By cleaning then merging the documented business owners data in Chicago with the active business licenses in the city. (2021-06-09, Jupyter Notebook, 0KB, 下载0次)