导航新规范：远程工作及其对企业和员工福祉的影响
Navigating the New Norm: Remote Work and Its Impact on the Well-Being of Businesses and their Employees (2024-03-21, 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)
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)
使用Scikit learn和Statsmodels库建立逻辑回归模型，以识别风险客户，并帮助企业优化策略...
Built logistic regression models using Scikit-learn and Statsmodels libraries to identify risky customers and help businesses optimize their credit limits (2023-11-22, 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)
商店销售预测“项目利用机器学习预测零售商店销售，使企业能够优化库存，减少...，
Store Sales Prediction" project utilizes machine learning to forecast retail store sales, enabling businesses to optimize inventory, reduce costs, and increase profitability. (2023-10-13, Jupyter Notebook, 0KB, 下载0次)
员工流动成本计算是确定员工流动对企业财务影响的过程。
Employee turnover costs calculation is the process of determining the financial impact of employee turnover on a business. (2023-10-05, Jupyter Notebook, 0KB, 下载0次)
自行车需求预测对于参与自行车租赁服务、城市规划和交通的企业和组织至关重要...，
Bicycle demand prediction is crucial for businesses and organizations involved in bike rental services, city planning, and transportation. Evidently AI allows us to create interpretable and actionable reports for our bicycle demand forecasting models, helping us make informed decisions. (2023-09-28, Jupyter Notebook, 0KB, 下载0次)
销售分析和预测对于企业了解和优化其销售业绩并做出明智的决策至关重要...，
Sales analysis and forecasting are crucial for businesses to understand and optimize their sales performance and make informed decisions about their future sales goals. In this project, I analyzed Walmart s weekly sales data from 45 stores to gain insights into their sales performance and identify trends and patterns. (2023-09-13, Jupyter Notebook, 0KB, 下载0次)
运营研究、决策建模和数据科学将是企业追求卓越的关键。
Operation Research, Decision Modelling & Data Science would be the key for Businesses to strive for Excellence. (2023-09-06, Jupyter Notebook, 0KB, 下载0次)
使用Python进行销售预测：预测未来销售对于企业优化营销战略、分配资源......至关重要...，
Sales Prediction Using Python: Predicting future sales is crucial for businesses to optimize their marketing strategies, allocate resources efficiently, and maximize revenue potential. This project leverages machine learning techniques to forecast sales based on factors like advertising expenses, customer segmentation, and marketing platforms. (2023-08-28, Jupyter Notebook, 0KB, 下载0次)
UCD计算机科学项目的协作存储库。为寻求最佳位置的企业开发创新解决方案...，
Collaborative repository for our Computer Science project at UCD. Developing an innovative solution to businesses seeking optimal locations in New York. (2023-08-18, Jupyter Notebook, 0KB, 下载0次)
目的：预测信实工业未来30天的股价。使用matplotlib和statsmodel移动平均值，时间se...，
Aim: To predict the Reliance Industries Stock price for the next 30 days. Using the matplotlib and statsmodel the moving average, time series decomposition, ACF and PACF plots were plotted. Building the model using MAPE, Simple Exponential method, Holt method and Holt Winters method, and using Flask for deployment we get the forecasts. (2023-04-26, Jupyter Notebook, 0KB, 下载0次)
用于存档和展示我在伦敦大学城学院硕士研究生学习期间完成的数据科学项目的中心。它还包含与我在数据科学领域的学习历程相关的资源和积压项目。
hub for archiving and showcasing my data science projects completed during my master s studies at City, University of London. It also contains resources and backlog items related to my learning journey in the field of data science. (2023-07-24, Jupyter Notebook, 0KB, 下载0次)
为公司、SME（中小企业）和住宅客户提供天然气和电力的主要公用事业。欧洲能源市场的电力自由化导致了大量客户流失，特别是在中小企业领域。他们与我们合作，帮助诊断流失SME客户的来源。
A major gas and electricity utility that supplies to corporate, SME (Small & Medium Enterprise), and residential customers. The power-liberalization of the energy market in Europe has led to significant customer churn, especially in the SME segment. They have partnered with us to help diagnose the source of churning SME customers. (2023-07-29, Jupyter Notebook, 0KB, 下载0次)
使用NeuralProphet使用时间序列方法预测企业的销售和经济需求，
Forecasting sales and economic demand for businesses with a time series approach using NeuralProphet, (2022-11-10, Jupyter Notebook, 0KB, 下载0次)
通过对江苏省集成电路企业多元数据的收集与清洗(工商信息、融资信息、宏观经济数据、 A 股同类企业数据、爬取的政策信息) , 通过数据分析进行多种可视化组合展示、 特征提取, 从时 间和地区维度分别测算“活力指数"反应创新创业状态,并利...
Through the collection and cleaning of diversified data of integrated circuit enterprises in Jiangsu Province (industrial and commercial information, financing information, macroeconomic data, A-share similar enterprise data, crawling policy information), and through data analysis, a variety of visual combination displays and feature extraction are carried out, and the "vitality index" is calculated from the time and regional dimensions to reflect the innovation and entrepreneurship status, and to benefit (2020-07-01, Jupyter Notebook, 2769KB, 下载0次)
pytorch-book,PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:...
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anytime generation (PyTorch: (2022-12-04, Jupyter Notebook, 9485KB, 下载0次)
tensor house，企业运营参考机器学习和优化模型的集合：营销、定价、供应，
A collection of reference machine learning and optimization models for
enterprise operations: marketing, pricing, supply chain
, (2023-03-26, Jupyter Notebook, 66260KB, 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)