Machine Learning for Time Series Data in Python

Description

In this course, you will :

• introduction to machine learning fundamentals, time series data, and the intersection of the two
• covers the most common features extracted from time series in order to perform machine learning
• Discover how to gain insights into the data before fitting your model, as well as best practises for using predictive modelling with time series data.
• covers the fundamentals of generating predictions with models and validating them against "test" data.

Syllabus :

• Time Series and Machine Learning Primer
• Time Series as Inputs to a Model
• Predicting Time Series Data
• Validating and Inspecting Time Series Models