拓端(tecdat.cn)分享最in的大数据资讯，提供“一站式”的数据分析学习和咨询体验，让我们一起做有态度的数据人。 做新能源汽车市场分析时，你是不是也遇到过这样的问题：用ARIMA预测总抓不住销量的突发波动，换LSTM又容易忽略长期增长趋势？单一模型总在 ...

This project analyzes transaction data and generates forecasts using machine learning models like ARIMA, Prophet, and others. It outputs forecasted data, visualizations, and saved models for further ...

Stock Analysis & Forecasting Web App 📈 An interactive web app for real-time stock analysis, technical indicators, and AI-powered price forecasting. Built with Python, Streamlit, and Plotly, it ...

The Tesla Model Y has been the most popular electric car for a few years now, and it makes sense. The Model Y is reasonably priced for an EV while offering a good range and an excellent software ...

Abstract: The COVID-19 pandemic had a significant effect on worldwide financial markets, resulting in unparalleled instability and unpredictability. This study demonstrates the use of the ...

Abstract: Small businesses are vital to economic growth. However, they were among the most vulnerable to the pandemic and its impacts. Previous research has shown that the COVID-19 pandemic reduced ...

Time series Autoregressive Integrated Moving Average (ARIMA) model is often used in landslide prediction and forecasting. However, few conditions have been suggested for the application of ARIMA ...

Introduction: The price of crude oil as an essential commodity in the world economy shows a pattern and identifies the component factors that influence it in the short and long term. The long pattern ...