Time series analysis is a machine learning technique where AI learns patterns from historical data to predict future outcomes, enabling companies like Amazon, Uber, and Netflix to forecast product sales, ride demand, and user viewing preferences by identifying trends, seasonality, and repeating behaviors over time.
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Every major company today is trying to predict the future. Think about this.
How does Amazon know which products will sell next month? How does Uber predict ride demand during peak hours? How does Netflix estimate what users are likely to watch next? All of these problems involve something called time series analysis. Time series analysis is a machine learning technique that AI learns patterns from past data to predict future outcomes. Modern AI learns things like trends, seasonality, and repeating behavior over time. I recently uploaded a complete beginner-friendly video explaining time series analysis in machine learning.
Watch the full video on my YouTube channel.
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