Time Series Analysis (LSTM/Prophet): Forecasting Stock Prices or Demand Cycles Using Recurrent Architectures and Seasonal Modeling
When you have sufficient historical data and the appropriate tools, forecasting the future is not just guesswork. One of the most useful fields in data science today is time series analysis, which allows analysts to predict stock prices, simulate demand cycles, and allocate resources with quantifiable precision. Long Short-Term Memory (LSTM) networks and Meta’s Prophet … Read more