I need a guide on this question:
Based on the pipeline on the renewal power data and using
your pipeline model, apply feature selection for clustering and
feature selection for classification. Also, find all frequent item
sets using the Apriori algorithm.
The sequence of events or values obtained in the pipeline model
experiment is:
1. The initial data is collected.
2. The data is preprocessed.
3. The data is split into training and testing sets.
4. The model is trained on the training set.
5. The model is tested on the testing set.
6. The model is evaluated.
7. The model is fine-tuned.
8. The model is deployed.
9. The model is used to make predictions.
10. The predictions are evaluated.
11. The model is updated as needed.
I need the reference list.
I need a guide on this question: Based on the pipeline on the renewal power data and using your pipeline model, apply fe
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