What is time series analysis in machine learning?
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What is time series analysis in machine learning?
Time series analysis involves techniques to analyze time-ordered data points, often used for forecasting.
How is it different from regular data analysis?
Unlike regular data analysis, time series analysis considers the temporal ordering of data, which is crucial for trends.
What are some common applications of time series analysis?
Common applications include stock price prediction, weather forecasting, and economic indicators analysis.
What algorithms are typically used for time series forecasting?
Popular algorithms include ARIMA, Seasonal Decomposition, and machine learning models like LSTM.
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