Suggestions on preparing for the National Mathematical Modeling and Prediction Competition for Graduate Students

1. Code preparation suggestions

1.1 Data preprocessing

• Data missing value detection
• Data outlier detection (boxplots, etc.)
• Missing data and outlier replacement
• Data standardization and denormalization

1.2 Data dimensionality reduction

• factor analysis
• Principal component analysis

1.3 Data clustering

• k-means clustering

1.4 Reviews

• topsis
• analytic hierarchy process

1.5 Prediction

• Exponential smoothing
• seasonal forecast
• lstm multivariate time series forecasting
• Arimi Time Forecast

1.6 Time series correlation

• cyclical analysis
• trend analysis
• time series decomposition
• difference

1.7 Return

• multiple linear regression