Hey guys. Machine learning n00b here. Let's say I have a bunch of time series (say from Jan 1 1990 to Dec 31 2013) and a bunch of events that occurred at various dates during that time frame. How do I predict the probability of an event happening at any point.
For example, my time series data might be World Bank economic data (yearly inflation, gdp etc) and I want to predict economic crises.
Or my time series might be weather data (daily rainfall, temperature etc) and I want to predict floods or storms etc.
Thanks!
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