msb-public
/
ML-For-Beginners
mirror of https://github.com/microsoft/ML-For-Beginners.git
1
0
Code Issues Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '9770ca6f14'
${ noResults }
ML-For-Beginners/7-TimeSeries
History
Jen Looper d5d1a833a2
re-numbering lesson groups 		3 years ago
..
1-Introduction re-numbering lesson groups 3 years ago
2-ARIMA re-numbering lesson groups 3 years ago
images re-numbering lesson groups 3 years ago
translations re-numbering lesson groups 3 years ago
README.md re-numbering lesson groups 3 years ago

README.md
Escape

Time Series Forecasting

Summary of TIme series in a sketchnote

Sketchnote by Tomomi Imura

In these two lessons, you will be introduced to Time Series Forecasting, a somewhat lesser known area of Machine Learning that is nevertheless extremely valuable for industry and business applications, among other fields. While neural networks can be used to enhance the utility of these models, we will study them in the context of classical machine learning as models help predict future performance based on the past.

Our regional focus is electrical usage in the world, an interesting dataset to learn about forecasting future power usage based on patterns of past load. You can see how this kind of forecasting can be extremely helpful in a business environment.

electric grid

Photo by Peddi Sai hrithik of electrical towers on a road in Rajasthan on Unsplash

Lessons

  1. Introduction to Time Series Forecasting
  2. Building ARIMA Time Series Models

Credits

"Time Series Forecasting" was written with ⚡️ by Francesca Lazzeri and Jen Looper