Machine Learning for Time Series Data in Python
Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
Prerequisites/Requirements
Manipulating Time Series Data in Python
Visualizing Time Series Data in Python
Supervised Learning with scikit-learn
What You Will Learn
This course focuses on feature engineering and machine learning for time series data
This course is an intersection between these two worlds of machine learning and time series data, and covers feature engineering, spectograms, and other advanced techniques in order to classify heartbeat sounds and predict stock prices
Course Instructors
Chris Holdgraf
Fellow at the Berkeley Institute for Data Science
Course Reviews
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