Quantitative prediction method of Taishan tourist market

The subject wants to ask "what is the quantitative prediction method of Taishan tourist market"? These methods include data collection, data cleaning and preprocessing, feature engineering, model selection and establishment.

1. data collection: collect historical data and related variables, such as historical tourists, climate change, holidays and weekends.

2. Data cleaning and preprocessing: cleaning, sorting and preprocessing the collected data, including missing value filling, abnormal value processing and data standardization.

3. Feature engineering: according to data features and domain knowledge, select and construct appropriate features, such as the trend, seasonality and periodicity of the number of tourists.

4. Model selection and establishment: Select appropriate prediction models, such as ARIMA model based on time series, multiple linear regression model based on regression or decision tree regression model.