Forecasting is one of the most important and frequent problems in machine learning.

• How many customers will visit a store next Friday?
• How many products will a factory sell three months from now?
• How many tourists will visit a city next summer?

In this talk, you will learn how to solve these types of problems with machine learning in Python.

The talk will start with a brief introduction to the necessary machine learning concepts, then explain how to transform a time series problem into a machine learning problem. It will focus on concepts that are not only essential for this approach, but for time series modelling in general.