神经网络模型，用于选择在其企业中成功机会最大的资金申请人。
Neural Network Model to select the applicants for funding with the best chance of success in their ventures. (2024-04-04, Jupyter Notebook, 0KB, 下载0次)
各种行业的企业发现，客户细分是一项必不可少的活动，因为它有助于理解各种客户群体的不同需求和习惯。
Businesses in a variety of industries find that customer segmentation is an essential activity since it facilitates understanding the disparate wants and habits of various client groups. (2024-04-01, Jupyter Notebook, 0KB, 下载0次)
通过OpenCV的无线声音控制结合了实时视觉处理来解释手势等提示。OpenCV分析视觉效果，触发声音事件。无线通信的集成允许远程控制音频设备，使其成为交互式安装和娱乐系统的理想选择。
Wireless sound control via OpenCV combines real-time visual processing to interpret cues like gestures. OpenCV analyzes visuals, triggering sound events. Integration of wireless communication allows remote control of audio devices, making it ideal for interactive installations and entertainment systems. (2024-03-29, Jupyter Notebook, 0KB, 下载0次)
使用从公司内部数据库中提取的一系列新闻文章，并根据其内容将其分为政治、技术、体育、商业和娱乐等几个类别。使用自然语言处理，创建并比较至少三个不同的模型。
Use a bunch of news articles extracted from the companies’ internal database and categorize them into several categories like politics, technology, sports, business and entertainment based on their content. Use natural language processing and create & compare at least three different models. (2024-03-06, Jupyter Notebook, 0KB, 下载0次)
信用风险分析是评估个人、企业或实体的信誉度的过程，以确定他们违约的可能性。
Credit risk analysis is the process of assessing the creditworthiness of individuals, businesses, or entities to determine the likelihood of them defaulting on their financial obligations. (2024-02-26, Jupyter Notebook, 0KB, 下载0次)
一家希望开设餐厅的食品卡车企业的ETL管道。使用Pandas和Seaborn等Python库来创建可视化和分析。
An ETL pipeline for a foodtruck business looking to open up restaurants. Used Python libraries like Pandas and Seaborn to create visualizations and analytics. (2024-01-26, Jupyter Notebook, 0KB, 下载0次)
利用K-Means聚类进行深入的客户细分，使企业能够根据特定的客户类型定制产品。
Leveraging K-Means clustering for insightful customer segmentation, enabling businesses to tailor products to specific customer types. (2024-01-18, Jupyter Notebook, 0KB, 下载0次)
信用分析是投资者或债券投资组合经理对公司或其他债务发行实体进行的一种分析，以衡量企业的信用状况…
Credit analysis is a type of analysis an investor or bond portfolio manager performs on companies or other debt issuing entities to measu… (2024-01-13, Jupyter Notebook, 0KB, 下载0次)
Ask a Manager Salary调查提供了一个独特的机会，可以深入研究真实世界的薪酬数据，为企业提供有价值的见解...
The Ask a Manager Salary survey offers a unique opportunity to delve into real-world salary data, providing valuable insights into the complex dynamics of compensation across various industries and job roles. This analysis aim to uncover and explore compensation patterns in United States specifically within the Ask a Manager Salary Survey 2021. (2023-11-24, Jupyter Notebook, 0KB, 下载0次)
Radiance Group是一家风险投资公司，在全球范围内投资早期初创企业，并聘请您作为分析师执行数据挖掘...
Radiance Group is a venture capital investing in early stage startups across the globe and has hired you as an analyst to perform data driven analysis to empower its investments through cutting edge insights. Today, we are going to work on this consulting assignment and attempt to answer questions for Radiance Group. (2023-11-16, Jupyter Notebook, 0KB, 下载0次)
对于旨在优化战略和提高客户满意度的企业来说，这是一种宝贵的资源。分析客户属性，采购...，
An invaluable resource for businesses aiming to optimize strategies and enhance customer satisfaction. Analyze customer attributes, purchase history, and preferences to make data-driven decisions. (2023-10-17, Jupyter Notebook, 0KB, 下载0次)
气候变化是董事会会议室讨论的中心，讨论增加的谈话和监管将如何影响企业，以及它们如何...，
Climate change is at the center of boardroom discussions, on how the increased talk and regulation will impact businesses and how they can capitalize on this to be sustainable in the future and not treat it as an obstacle to growth. At an individual level we also share in the responsibility of making the right decisions that care for the future ... (2021-09-28, Jupyter Notebook, 0KB, 下载0次)
关于数据集问题陈述流失率是一种营销指标，它描述了在特定情况下离开企业的客户数量…，
About Dataset Problem Statement Churn rate is a marketing metric that describes the number of customers who leave a business over a speci…, (2022-06-17, Jupyter Notebook, 0KB, 下载0次)
在这个项目中，我正在分析和可视化苹果应用程序商店策略游戏数据。其目标是找出哪些因素会影响企业绩效...
In this project, I am analyse and visualize apple app store strategy games data. The objective is to find out what factor make a successful game. Ideas Use the number of ratings as a proxy indicator for the overall success of a game. (2019-11-24, Jupyter Notebook, 10652KB, 下载0次)
U4-AI&BA-M2 TBS-企业深度学习-Docker、PyTorch和Flask+（链接可根据要求激活）
U4 - AI&BA - M2 TBS - Deep Learning for Business - Docker, PyTorch & Flask + (link can be activated on request) (2021-01-25, Jupyter Notebook, 137657KB, 下载0次)
该存储库包含所有DSA（数据结构，算法，Love Babbar Bhaiya的450 DSA，FAANG问题），T...
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, (2021-07-20, Jupyter Notebook, 239466KB, 下载0次)
提高企业、购物中心、办公室或任何有社区的地方的人们的幸福率。W...
To increase the happiness rate of people in businesses, shopping centres, offices or wherever there is a community. With the deepface library, it performs emotional analysis based on 100 photographs taken.? (2023-04-17, Jupyter Notebook, 104KB, 下载0次)
一个以真实世界企业数据库为模型的SQLite数据库，供Lambda学校的学生练习SQL查询。8塔...
A SQLite database modeled on real world enterprise databases for Lambda School students to practice SQL queries. 8 Tables containing information on 10,000 product orders and all the associated data. (2019-10-10, Jupyter Notebook, 495KB, 下载0次)
Bangla_Text_Classification_Utilizing_CN_with_Bi-LSTM，该项目在包含注释Bangla文本的数据集上提出了情感的二元分类。A d...
This project is presented a binary classification of sentiment on a dataset that contains annotated Bangla texts. A deep learning-based hybrid network with CNN with Bidirectional LSTM is used. (2023-03-21, Jupyter Notebook, 747KB, 下载0次)
存储库，包含用于构建、评估和解释Dota 2团队胜利预测模型的代码。提交至第16届AAAI人工智能与互动数字娱乐大会人工智能评估轨道-AIIDE 2020
Repository with code for building, evaluating and explaining Dota 2 prediction
models for team victory. Submitted to the artifact evaluation track of the
16th AAAI Conference on Artificial Intelligence and Interactive Digital
Entertainment - AIIDE 2020
, (2020-09-02, Jupyter Notebook, 439KB, 下载0次)