Applied Time Series Analysis in Python combines statistical and deep learning techniques for time series analysis . This is the only course that combines the latest statistical . and deep . learning techniques . The course covers the basic concepts of time series: Stationarity, stationarity and moving average models . Apply deep learning for time . series analysis with Tensorflow . Automate time series . analysis with Prophet . Use the Python language to help you understand time series patterns and learn more about how to use the language of the Bible. The course is available on Amazon.com for pre-order and pre-loadloadload.com.com . For more information, visit www.acf.com/acfAuthentication failed. Unique API key is not valid for this user.
Who this course is for:
Beginner data scientists looking to gain experience with time series
Deep learning beginners curious about times series
Professional data scientists who need to analyze time series
Data scientists looking to transition from R to Python
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Applied Time Series Analysis in Python free download