Hyperparameter Tuning and Regularization for Time Series Model Using Prophet in Python смотреть онлайн

In this tutorial, we will talk about hyperparameter tuning and regularization for time series model using prophet in Python. You will learn:

? What are the hyperparameters for a prophet time series model?
? Among all the hyperparameters, what hyperparameters should be tuned, and what hyperparameters are better not to be tuned?
? Among all the hyperparameters that should be tuned, what hyperparameters should be tuned automatically vs. manually?
? How are hyperparameter tunings related to regularization?
? How does data transformation impact the model performance?

⏰ Timecodes ⏰
0:00 - Intro
0:49 - Step 0: Overview of All the Hyperparameters for a Prophet Model
7:20 - Step 1: Install and Import Libraries
8:23 - Step 2: Pull Data
9:38 - Step 3: Baseline Model Using Default Hyperparameters
13:03 - Step 4: Models with Manual Hyperparameter Changes
15:24 - Step 5: Automatic Hyperparameter Tuning
16:47 - Step 6: Automatic Hyperparameter Tuning using Log Data

❤️ Blog post with code for this video: https://medium.com/@AmyGrabNGoInfo/hyperparameter-tuning-and-regularization-for-time-series-model-using-prophet-in-python-9791370a07dc
? Colab notebook: https://mailchi.mp/a2be72609c4b/10gxqxnd68
? GrabNGoInfo Machine Learning Tutorials Inventory: https://medium.com/grabngoinfo/grabngoinfo-machine-learning-tutorials-inventory-9b9d78ebdd67

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