Evaluate Time Series Forecasting Models with Python
Time series forecasting models Evaluating the performance of forecasting models is important and a crucial step in their development. This is especially the case for time series forecasting models. Compared to classification models, time series predictions cannot easily be divided … Continued
Measuring Prediction Errors in Time Series Forecasting (Python Cheat Sheet)
Measuring prediction errors in time series forecasting Measuring prediction errors is an important step in the process of developing a predictive machine learning model. In time series forecasting, model performance is typically measured with different error metrics, each of which … Continued
Multi-step Time Series Forecasting with Python: Step-by-Step Guide
Multi-step time series forecasting Time series forecasting is about estimating the future value of a time series on the basis of past data. Many time series problems can be solved by looking a single step into the future. I have … Continued
Geographic Heat Maps: Visualizing COVID-19 Data
Create geographic heat maps using GeoPandas Currently, there is a great need to provide relevant information on COVID-19. Geographic heat maps are particularly suitable for this purpose. A geographical heat map shows a map in which different regions or elements … Continued
Correlation Matrix in Python: How correlated are COVID-19 and the Value of Financial Assets?
Market volatility Since the sudden appearance of COVID-19, the financial markets have gone through turbulent times. While the number of documented infections has continued to rise, stock markets worldwide have fallen sharply. On the other hand, there are also beneficiaries … Continued
Stock Market Prediction – Adjusting Time Series Prediction Intervals
Time series prediction Time series prediction is a hot topic of machine learning. In a previous post on stock market forecasting, I have shown how you can build a prediction model for the S&P500 Stock Market Index. The prediction interval … Continued