Working with Time Series
- Time series data structure
- Extracting time-series pattern
- Multiple vs multivariate time series
Data Cleansing and Preprocessing
- Time series data imputation
- Data normalization
- Anomaly detection
Time Series Forecasting
- Time series fitting
- Hyperparameter optimization
- Out-of-time cross-validation
- Evaluation metrics for a forecasting model
