Machine Learning for Time Series Data in Python

Starting at USD 39.00
4 hours duration

This course focuses on feature engineering and machine learning for time series data.

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.

About Provider

Online Education Provider ยท 410 courses
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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