Challenge 3: Pipelines
Pipelines play a crucial role in streamlining machine learning workflows, ensuring the coherent and efficient transition of data from one processing stage to another. Essentially, a pipeline bundles together a sequence of data processing steps and modeling into a single, unified structure. The primary advantage of using pipelines is the minimization of common workflow errors, such as data leakage when standardizing or normalizing data.
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Apply data scaling to the wine dataset, and then use the KMeans algorithm for clustering wines based on their chemical properties.
- Apply data standard scaling to the features of the wine dataset.
- Use the KMeans algorithm to cluster wines based on their chemical properties. You need
3
clusters. - Apply the pipeline to the data
Soluzione
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