Electricity Production Forecasting using SARIMAX | Time Series Forecasting Project | Seasonal Data

Hey everyone,
In this project I have implemented a Time Series Forecasting project on univariate data of Electricity Production using SARIMAX (Season Autoregressive Integrated Moving Average with Exogenous Factors) as the data was seasonal.
Dataset:
www.kaggle.com/datasets/shenb...
IDE:
colab.google/
00:00 Starting
02:16 Conversion to Datetime Data type
03:33 Re-setting index
06:22 ADF-test (Augmented Dickey Fuller Test)
09:56 Differencing
14:48 PACF plot
15:56 ACF plot
16:58 Train Test Split
18:35 Auto-Arima
20:17 SARIMAX model
23:26 Prediction
24:53 Plotting
#timeseries
#forecast
#python
#sarimax
Thanks for watching!
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[@darshangogoi9895]

Please make a video on electrical transformer fault diagnosis using machine learning.

[@InsightsByRish]

Will definitely try!

[@darshangogoi9895]

Please try as soon as possible 🙏. It will be very helpfull

[@AkhileshMaurya-nm8jr]

mam when are making video market segment analysis ml parts 2

[@InsightsByRish]

Will try! But I have the machine learning code here: github.com/RishaRane/Market_Segment_Clustering.git

[@darshangogoi9895]

Can you please share the Colab File download link

[@InsightsByRish]

drive.google.com/file/d/1dMT88UCeBOIRlMv78l-a5Z201kylCax4/view?usp=sharing

[@darshangogoi9895]

Thanks a lot ​@@InsightsByRish