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:
https://github.com/jeffheaton/app_dee...
~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~
📖 Textbook - Coming soon
😸🐙 GitHub - https://github.com/jeffheaton/app_dee...
▶️ Play List - • 2024 PyTorch Version Applications of ...
🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t8...
~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~
🖥️ Website: https://www.heatonresearch.com/
🐦 Twitter - / jeffheaton
😸🐙 GitHub - https://github.com/jeffheaton
📸 Instagram - / jeffheatondotcom
🦾 Discord: / discord
▶️ Subscribe: https://www.youtube.com/c/heatonresea...
~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~
🅿 Patreon - / jeffheaton
🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/suppor...
~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#MachineLearning #TimeSeries #Seasonality #TrendAnalysis #DataScience #PatternRecognition #PredictiveModeling #DataDrivenDecisions #MLTutorials #DataAnalysisTips