<ul><li>The author shares their experience of building their first machine learning (ML) pipeline.</li><li>The pipeline helps in structuring and simplifying the ML workflow, reducing complexity and ensuring consistency.</li><li>The pipeline consists of steps such as data preparation, standard scaling, and logistic regression.</li><li>The author learned the importance of modularity, reproducibility, and efficiency in ML pipelines.</li></ul>

My First ML Pipeline: A Journey into Machine Learning Simplification

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