Understand the concept of time-series data, some of the most basic time-series notation and terminology, and how to pre-process data in a time series data frame.
What do we use the Moving Average model for? In time-series, we sometimes observe similarities between past errors and present values. That’s because certain unpredictable events happen, and they need to be accounted for. In other words, by knowing how far off our estimation yesterday was,...
In time series, we often rely on past data to make estimates about current and future values. However, sometimes that’s not enough. When unexpected events like natural disasters, financial crises, or even wars happen, there can be a sudden shift in values. That's why we need models...
