在纽约刮掉犯罪新闻的标题和发布日期，使用情绪分析进行评分，并创建了平均情绪得分与日期的时间序列图。
Scraped headlines and post dates of crime news in New York, used sentiment analysis for scoring, and created a time-series plot of average sentiment scores against dates. (2024-03-13, Jupyter Notebook, 0KB, 下载0次)
保持各服务中心的备件库存满足市场需求始终是一项挑战，因为大多数服务中心在备件库存成本上花费了大量资金。尽管如此，备件的供应仍然是问题领域之一。
Keeping Inventory of spare in various service centre to the market demand is always a challenge as most service centres spends significant amount in spare parts inventory costs. In spite of this, availability of spare parts is been one of the problem areas. (2024-02-25, Jupyter Notebook, 0KB, 下载0次)
FNSPID：时间序列中的综合金融新闻数据集
FNSPID: A Comprehensive Financial News Dataset in Time Series (2024-02-19, Jupyter Notebook, 0KB, 下载0次)
对呼叫中心数据使用多元线性回归的时间序列模型。
Time series model using multiple linear regression on call-centre data. (2023-12-09, Jupyter Notebook, 0KB, 下载0次)
该项目涉及金融新闻文章的详细情绪分析和股票价格的复杂时间序列分析。它意味着...
The project involved detailed sentiment analysis of financial news articles and sophisticated time series analysis of stock prices. It determined that LSTM models, reinforced with differential privacy (LSTM-DP), surpassed conventional time series models in forecasting accuracy. (2023-11-25, Jupyter Notebook, 0KB, 下载0次)
是的，银行是印度金融领域的知名银行。自2018年以来，它一直在新闻中，因为涉及冉...
Yes Bank is a well-known bank in the Indian financial domain. Since 2018, it has been in the news because of the fraud case involving Rana Kapoor. Owing to this fact, it was interesting to see how that impacted the stock prices of the company and whether Time series models or any other predictive models can do justice to such situations. (2023-11-08, Jupyter Notebook, 0KB, 下载0次)
该GitHub存储库以旧金山空中交通统计的时间序列分析为中心。它提供代码、数据和内部...，
This GitHub repository is centered around time series analysis of San Francisco air traffic statistics. It provides code, data, and insights for understanding temporal patterns, trends, and seasonality in air traffic data, making it a valuable resource for transportation analytics and forecasting. (2023-09-19, Jupyter Notebook, 0KB, 下载0次)
...数据库，其中包含所有流行的美国报纸的新闻。一个基于金融新闻标题训练的金融情绪模型，用于预测...，
This project tests the hypothesis that signals in the form of sentiment from newspaper text can be used to materially improve the forecasts of macroeconomic variables including infaltion, GDP and unemployment rate. Our news corpus is drawn from GDELT database which contains news from all popular US newspapers. A financial sentiment model (2022-02-15, Jupyter Notebook, 0KB, 下载0次)
预测新闻热线受欢迎程度的时间序列分析模型。
A time series analysis model to forecast news healine popularity. (2018-09-23, Jupyter Notebook, 60800KB, 下载0次)
使用python进行时间序列预测的以用例为中心的教程
A use-case focused tutorial for time series forecasting with python (2023-03-25, Jupyter Notebook, 8626KB, 下载0次)