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Lernen Implementation in Python | Time Series: Let's Start
Time Series Analysis
course content

Kursinhalt

Time Series Analysis

Time Series Analysis

1. Time Series: Let's Start
2. Time Series Processing
3. Time Series Visualization
4. Stationary Models
5. Non-Stationary Models
6. Solve Real Problems

book
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:

python
python

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.

War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 1. Kapitel 4

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course content

Kursinhalt

Time Series Analysis

Time Series Analysis

1. Time Series: Let's Start
2. Time Series Processing
3. Time Series Visualization
4. Stationary Models
5. Non-Stationary Models
6. Solve Real Problems

book
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:

python
python

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.

War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 1. Kapitel 4
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