Implementation in Python
Having become familiar with the models that will allow us to predict time series, you probably have a question, which Python libraries will be used?
Firstly, in order to better understand the mathematical mechanism - you can implement one of the models yourself in Python.
While we will load the rest of the models through libraries such as statsmodels
:
![](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/Time+series_Images/images_1/image4.png)
![](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/Time+series_Images/images_1/image3.png)
We have formed a prediction for the next hundred months in the plot above.
The above code uses a model that captures the last "pattern" of seasonality, i.e., the same repeating segment.
Everything was clear?
Course Content
Time Series Analysis
Time Series Analysis
1. Time Series: Let's Start
2. Time Series Processing
3. Time Series Visualization
Implementation in Python
Having become familiar with the models that will allow us to predict time series, you probably have a question, which Python libraries will be used?
Firstly, in order to better understand the mathematical mechanism - you can implement one of the models yourself in Python.
While we will load the rest of the models through libraries such as statsmodels
:
![](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/Time+series_Images/images_1/image4.png)
![](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/Time+series_Images/images_1/image3.png)
We have formed a prediction for the next hundred months in the plot above.
The above code uses a model that captures the last "pattern" of seasonality, i.e., the same repeating segment.
Everything was clear?