回购能够使用ARIMA和其他时间序列方法进行准确的客户收入预测。它提供了实际示例、数据预处理、评估和优化。它还通过市场分析和预测建模来识别潜在客户。增强企业的数据驱动增长能力。
The repo enables accurate customer revenue forecasting using ARIMA and other time series methods. It provides practical examples, data preprocessing, evaluation, and optimization. It also identifies potential customers through market analysis and predictive modeling. Empowering businesses for data-driven growth. (2024-03-13, Jupyter Notebook, 0KB, 下载0次)
预测能源市场中WTI原油价格的目标是为能源企业、交易员和监管机构提供见解，使他们能够根据预测的价格波动，就生产、投资和风险管理策略做出明智的决策。
The goal of projecting WTI crude oil prices in the energy market is to give insights for energy businesses, traders, and regulators, allowing them to make informed decisions about production, investment, and risk management strategies based on predicted price fluctuations. (2024-02-29, Jupyter Notebook, 0KB, 下载0次)
Renova的计算应用程序。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。Renova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。
The computing application for Renova. Knowing when to replace equipment (welding arms, trucks, forklifts, generators, etc.) due to high labor and maintenance costs is crucial for any business. The Renova software optimizes replacement timing, reducing costs associated with parts, specialized labor, and downtime. (2024-02-25, 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)
统计分析意味着使用定量数据调查趋势、模式和关系。它是科学家、政府、企业和其他组织使用的重要研究工具。为了得出有效的结论，统计分析需要从研究过程的一开始就仔细规划。
Statistical analysis means investigating trends, patterns, and relationships using quantitative data. It is an important research tool used by scientists, governments, businesses, and other organizations. To draw valid conclusions, statistical analysis requires careful planning from the very start of the research process. (2024-02-23, Jupyter Notebook, 0KB, 下载0次)
#亚马逊销售数据分析销售管理对于满足日益激烈的竞争和改进分销方法以降低成本和增加利润的需求变得越来越重要。销售管理是当今商业企业最重要的职能。
# Amazon-Sales-Data-Analysis Sales management has gained importance to meet increasing competition and the need for improved methods of distribution to reduce cost and to increase profits. Sales management today is the most important function in a commercial and business enterprise. (2024-02-17, 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)
Renova的计算应用程序。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。Renova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。
The computing application for Renova. Knowing when to replace equipment (welding arms, trucks, forklifts, generators, etc.) due to high labor and maintenance costs is crucial for any business. The Renova 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)
该存储库包含用于根据历史销售数据和相关功能预测销售数字的代码和资源。该项目的主要目标是开发能够准确预测未来销售的机器学习模型，帮助企业进行决策、库存管理和资源分配。
This repository contains code and resources for predicting sales figures based on historical sales data and relevant features. The primary objective of this project is to develop machine learning models capable of forecasting future sales accurately, aiding businesses in decision-making, inventory management, and resource allocation. (2024-02-07, Jupyter Notebook, 0KB, 下载0次)
应用K-means聚类进行客户市场细分涉及对具有相似购买行为的个人进行分类，使企业能够定制有针对性的营销策略。这种方法通过识别和理解不同客户群体之间的共同特征来提高外联工作的准确性。
Applying K-means clustering for customer market segmentation involves categorizing individuals with similar purchasing behaviors, enabling businesses to customize targeted marketing strategies. This approach enhances precision in outreach efforts by identifying and understanding shared characteristics among distinct customer segments. (2024-02-01, 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)
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)
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)
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)