AIM
The aim of the project was to build a model to analyse the stock market prices using time series forecasting.
DATASET
Dataset can be downloaded from here.
STEPS
- Importing Libraries
- Data Visualisation
- Data Handling
- Training the model
- Model Evaluation
MODEL USED
- ARIMA
LIBRARIES USED
- pandas
- numpy
- os
- seaborn
- matplotlib
- statsmodel
- sklearn
Conclusion
Testing Mean Squared Error: 1431.999
Symmetric mean absolute percentage error: 1.503