Seasonality and Trend (10.4)

This video covers intricacies of time series data as we dive into machine learning applications for seasonality and trend analysis. This video offers a comprehensive look into the core techniques that empower businesses and researchers to decipher patterns, anticipate market shifts, and make data-driven decisions. Whether you're dealing with sales figures, climate data, or stock market prices, understanding the seasonal fluctuations and long-term trends can be a game-changer. We break down complex concepts into easily digestible insights, complete with real-world examples and hands-on demonstrations.
Code for This Video:
github.com/jeffheaton/app_dee...
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#MachineLearning #TimeSeries #Seasonality #TrendAnalysis #DataScience #PatternRecognition #PredictiveModeling #DataDrivenDecisions #MLTutorials #DataAnalysisTips

[@maximinmaster7511]

Thank you Jeff !

[@SaschaRobitzki]

Where is `cnn_history` coming from? It's used in your notebook but is not defined and throws an error.

[@loganyool8873]

I know this is late but he creates that variable in his last lecture in 10.3

[@after1001]

How am why am i subscribed to this