Time Series Analysis
Advanced forecasting using classical ML and deep learning techniques
Time Series Forecast
Actual vs Predicted Values
Mean Absolute Error
2.34
Root Mean Squared Error
3.12
Mean Absolute % Error
4.67%
R² Score
0.870
Advanced forecasting using classical ML and deep learning techniques