Course Content
Time Series Analysis
1. Time Series: Let's Start
2. Time Series Processing
3. Time Series Visualization
Time Series Analysis
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:
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
1. Time Series: Let's Start
2. Time Series Processing
3. Time Series Visualization
Time Series Analysis
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:
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?
