Machine Learning for Time Series Data in Python
Engineering and Technology
Short Description
This course focuses on feature engineering and machine learning for time series data.
Long Description
Time series data is widely prevalent across various domains, encompassing stock market fluctuations, climate change sensor recordings, and brain activity analysis. Any signal that exhibits temporal changes can be categorized as a time series. In recent years, machine learning has emerged as a potent approach for harnessing the intricacies within data to generate predictions and gain valuable insights into the problem at hand. This course serves as a convergence point between the realms of machine learning and time series data, delving into the realms of feature engineering, spectograms, and other advanced techniques. The primary objective is to effectively classify heartbeat sounds and forecast stock prices.
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Course Details
- Duration
- 4 hours
- Format
- Short Course
- Price
- USD39.00
- Course Link More Information