该存储库包含文档图像二值化的代码，并实现了Otsu、Sauvola和自适应高斯滤波算法。用于评估性能的评估指标包括峰值信噪比（PSNR）、动态范围减少（DRD）、并集上的交集（IOU）和结构相似性指数（SSIM）。
This repository contains code for document image binarization with the implementation of Otsu, Sauvola, and Adaptive Gaussian Filtering algorithms. The evaluation metrics used for assessing the performance include Peak Signal-to-Noise Ratio (PSNR), Dynamic Range Decrease (DRD), Intersection over Union (IOU), and Structural Similarity Index (SSIM). (2024-04-24, Jupyter Notebook, 0KB, 下载0次)
由于劳动力和维护成本高昂，了解何时更换设备（焊接臂、卡车、叉车、发电机等）对任何企业都至关重要。ReCompra软件优化了更换时间，减少了与部件、专业劳动力和停机时间相关的成本。
Knowing when to replace equipment (welding arms, trucks, forklifts, generators, etc.) due to high labor and maintenance costs is crucial for any business. The ReCompra software optimizes replacement timing, reducing costs associated with parts, specialized labor, and downtime. (2024-02-25, Jupyter Notebook, 0KB, 下载0次)
在数字时代，客户销售沟通每年都会激增。电话营销在许多行业的销售中占主导地位，但远程信息技术的局限性导致了许多未接电话。ATTENTUS模式旨在为追求最佳效率的企业简化运营。
In the digital age, customer-sales communication surges annually. Telemarketing dominates sales for many sectors, yet telematics limitations lead to numerous unanswered calls. The ATTENTUS model aims to streamline operations for businesses striving for optimal efficiency. (2024-02-24, Jupyter Notebook, 0KB, 下载0次)
由于劳动力和维护成本高昂，了解何时更换设备（焊接臂、卡车、叉车、发电机等）对任何企业都至关重要。ReCompra软件优化了更换时间，减少了与部件、专业劳动力和停机时间相关的成本。
Knowing when to replace equipment (welding arms, trucks, forklifts, generators, etc.) due to high labor and maintenance costs is crucial for any business. The ReCompra software optimizes replacement timing, reducing costs associated with parts, specialized labor, and downtime. (2024-02-17, Jupyter Notebook, 0KB, 下载0次)
他们利用Python中的机器学习技术来分析和解释数据，允许他们就广告成本做出明智的决策。通过利用这些预测，企业可以优化其广告战略，并最大限度地发挥销售潜力。
They utilize machine learning techniques in Python to analyze and interpret data, allowing them to make informed decisions regarding advertising costs. By leveraging these predictions, businesses can optimize their advertising strategies and maximize sales potential. (2024-02-14, Jupyter Notebook, 0KB, 下载0次)
他们利用Python中的机器学习技术来分析和解释数据，允许他们就广告成本做出明智的决策。通过利用这些预测，企业可以优化其广告战略，并最大限度地发挥销售潜力。
They utilize machine learning techniques in Python to analyze and interpret data, allowing them to make informed decisions regarding advertising costs. By leveraging these predictions, businesses can optimize their advertising strategies and maximize sales potential. (2024-02-14, Jupyter Notebook, 0KB, 下载0次)
他们利用Python中的机器学习技术来分析和解释数据，允许他们就广告成本做出明智的决策。通过利用这些预测，企业可以优化其广告战略，并最大限度地发挥销售潜力。
They utilize machine learning techniques in Python to analyze and interpret data, allowing them to make informed decisions regarding advertising costs. By leveraging these predictions, businesses can optimize their advertising strategies and maximize sales potential. (2024-02-14, 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NLP、web抓取、YouTube API和Hugging Face的自动情感分析系统。将用户评论分为正面、负面或中性，使企业和内容创建者能够获得有价值的见解，以做出明智的决策，提高满意度，并增强参与度。
Automated sentiment analysis system using NLP, web scraping, YouTube API, and Hugging Face. Classifies user comments into positive, negative, or neutral, empowering businesses and content creators with valuable insights for informed decisions, improved satisfaction, and enhanced engagement. (2023-12-25, Jupyter Notebook, 0KB, 下载0次)
在当代金融领域，对公司客户相关风险的准确评估是金融机构内部健全决策的关键基础。GitHub项目名为“企业客户风险评估的内部评级模型”，致力于创建创新的内部评级模式。
In the realm of contemporary finance, the accurate evaluation of risk associated with corporate clients stands as a pivotal foundation for sound decision-making within financial institutions. This GitHub project, titled "Internal Rating Model for Corporate Client Risk Assessment," is dedicated to the creation of an innovative internal rating model. (2023-12-24, Jupyter Notebook, 0KB, 下载0次)
对美国空气污染进行了全面的时间序列分析（2000-2015），强调CO对臭氧的影响。研究结果为决策者、经济学家和企业提供信息，为有效监管和可持续实践提供见解
Conducted a comprehensive time series analysis (2000-2015) on U.S. air pollution, emphasizing CO s impact on ozone. Findings inform policymakers, economists, and businesses, offering insights for effective regulations and sustainable practices (2023-12-23, 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)
...公司，机会成本的减少由公司承担。营业额在大型企业中尤其普遍...
Employee Turnover is one of the key market challenges in Human Resource (HR) Analytics. Organizations usually invest a greater amount of money and time in the hiring of staff and nursing them in the hope to receive value addition. When an employee leaves the company, the reduction of opportunity costs is borne by the company. Turnover is (2022-07-26, Jupyter Notebook, 188KB, 下载0次)
初创公司或初创公司是由企业家开始的公司或项目，旨在寻求、开发和验证可扩展的经济...
A startup or start-up is a company or project begun by an entrepreneur to seek, develop, and validate a scalable economic model. While entrepreneurship refers to all new businesses, including self-employment and businesses that never intend to become registered, startups refer to new businesses that intend to grow large beyond the solo founder. ... (2020-10-03, Jupyter Notebook, 523KB, 下载0次)
识别公众舆论对企业来说是一个强大的工具。考虑到这一点，用户数据已经变得非常容易访问...
Identifying public opinion can be a powerful tool for businesses. With that in mind, user data has become hugely accessible throughout many different social media platforms. This task focuses heavily on text processing. The data source for this task is a 1-month collection of twitter tweets (July 1 2019 - July 31 2019) throughout London. Each (2019-09-17, Jupyter Notebook, 5089KB, 下载0次)
在最近的一段时间里，财富管理行业有了很大的增长。每个人或企业都积极...
In the recent past, the industry of wealth management has seen a lot of growth. Every individual or business actively searches for opportunities to get the maximum returns. However, in most of the cases, they either lack the skills to identify the right investment opportunity, or there is a shortage of time for finding these opportunities. (2022-02-17, Jupyter Notebook, 22422KB, 下载0次)
本次回购属于Harman提供的完整人工智能培训，企业培训师：j P Mishra已经Prov...
This repo belongs to complete AI training which has been Provided by Harman , Corporate Trainer : j P Mishra has Provided thsi training for 27 Hours . In which i have learnt Basic machine Learning Model , Deployment , Concept of Deep Learning and computer vision. He also suggested some good books for deep learning so that i can learn the (2019-12-07, Jupyter Notebook, 29484KB, 下载0次)
金融风险分析，如果企业或公司无法履行债务，它们可能会成为违约的牺牲品。默认wil...
Businesses or companies can fall prey to default if they are not able to keep up their debt obligations. Defaults will lead to a lower credit rating for the company which in turn reduces its chances of getting credit in the future and may have to pay higher interests on existing debts as well as any new obligations. From an investor s point of (2021-06-09, Jupyter Notebook, 6413KB, 下载0次)
新冠肺炎-未来预测-时间序列预测-使用预测模型，时间序列分析被广泛应用于企业部门、医学、天气预报和...
Time Series analysis is being widely used in the fields of corporate sectors, medical sciences, weather forecasting and stock prices to predict future values based on previously observed values. In this research, Time Series data of COVID-19 (SARS-CoV-2) obtained from a dataset obtained from worldometers has been to predict the prognosis of the ... (2023-05-14, Jupyter Notebook, 751KB, 下载0次)
audit-ai,这个 repository 用以存放企业内审深度学习的代码和经过信息安全转化转化了的学习数据以及预测数据,将包括多个项目与每个项目里的多个版本。
Audit ai, this repository is used to store the code for deep learning in enterprise internal audit, as well as the learning and prediction data transformed through information security transformation. It will include multiple projects and multiple versions in each project. (2017-08-21, Jupyter Notebook, 7293KB, 下载0次)