Time Series Forecasting: Predicting the Future

Time series data is everywhere—stock prices, weather, sales. It’s a unique beast because the order matters. You can’t just randomly shuffle your data like in other ML tasks. I struggled with it for a while because it requires a different mindset. You have to think about trends, seasonality, and autocorrelation. ARIMA models are a classic starting point, but modern approaches like Prophet or LSTMs can handle more complexity. It’s a field where domain knowledge about the temporal nature of the data is crucial.