Introduction to Time Series with Python [2023]
Silverkite, Additive and Multiplicative seasonality, Univariate and Multavariate imputation, Statsmodels, and so on
4.59 (27 reviews)
![Introduction to Time Series with Python [2023]](https://thumbs.comidoc.net/750/webp/5393108_696a.webp)
158
students
17.5 hours
content
Jul 2024
last update
$59.99
regular price
What you will learn
Pandas
Matplotlib
Statsmodels
Scipy
Prophet
seaborn
Z-score
Turkey method
Silverkite
Red and white noise
rupture
XGBOOST
Alibi_detect
STL decomposition
Cointegration
sklearn
Autocorrelation
Spectral Residual
MaxNLocator
Winsorization
Fourier order
Additive seasonality
Multiplicative seasonality
Univariate imputation
multavariate imputation
interpolation
forward fill and backward fill
Moving average
Autoregressive Moving Average models
Fourier Analysis
ARIMA model
Screenshots
![Introduction to Time Series with Python [2023] - Screenshot_01](https://screenshots.comidoc.net/webp/5393108_1.webp)
![Introduction to Time Series with Python [2023] - Screenshot_02](https://screenshots.comidoc.net/webp/5393108_2.webp)
![Introduction to Time Series with Python [2023] - Screenshot_03](https://screenshots.comidoc.net/webp/5393108_3.webp)
![Introduction to Time Series with Python [2023] - Screenshot_04](https://screenshots.comidoc.net/webp/5393108_4.webp)
5393108
udemy ID
6/18/2023
course created date
7/28/2023
course indexed date
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