parent
d57b92cd47
commit
7e6b4f89b1
@ -1,12 +1,12 @@
|
||||
# Getting Started with
|
||||
# Time Series Forecasting
|
||||
|
||||
In this section of the curriculum, you will be introduced to ...
|
||||
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.
|
||||
|
||||
## Lessons
|
||||
|
||||
1. [Introduction to](1-intro-to/README.md)
|
||||
|
||||
1. [Introduction to Time Series Forecasting](1-Introduction/README.md)
|
||||
2. [Building ARIMA Time Series Models](2-ARIMA/README.md)
|
||||
|
||||
## Credits
|
||||
|
||||
"Introduction to" was written with ♥️ by [Name](Twitter)
|
||||
"Time Series Forecasting" was written with ♥️ by [Francesca Lazzeri](https://twitter.com/frlazzeri) and [Jen Looper](https://twitter.com/jenlooper)
|
Loading…
Reference in new issue