Using the attached dataset (time-series) need to explore and build proved best fitted model in Python to predict values for 1, 5, 30 steps forward for columns F1,F3,F5,F7 including:
- feature analysis and selection
- prediction using different methods and selecting best prediction method for this dataset
- evaluating prediction results and validation of models results
All code should contain comments for every action.