Advanced time series analysis leveraging Prophet, SARIMA, and SARIMAX models for predictive analytics
Comparative analysis across Prophet, ARIMA, SARIMA, and SARIMAX for optimal forecast accuracy
Cross-validation, decomposition analysis, and comprehensive performance metrics (RMSE, MAE, MAPE)
End-to-end pipeline from EDA to deployment with reproducible methodologies
Explore production-grade time series implementations
Multivariate time series analysis of road traffic patterns using Prophet, SARIMA, and SARIMAX with exogenous variables and seasonality decomposition
Financial time series forecasting of Apple stock prices with comparative analysis of Prophet and ARIMA models, featuring stationarity testing and trend analysis
Python 3.x
Prophet
Statsmodels
Pandas
NumPy
Scikit-learn
Discover other machine learning and data science projects in our portfolio
Visit Portfolio