In this tutorial learn about pipelines & column transformers, in practical example. Pipeline is a way to organize repetitive steps in data science projects such as data cleaning, data transformation and data modeling. It makes your code clean, readable and facilitates implementation in the production environment. 💻 Dataset: Good references to check more materials on the topic: ☛ Sklearn documentation about Pipeline: ☛ Sklearn documentation about columnTransformer: ☛ A good notebook about Pipeline in Kaggle: ☛ Automate Machine Learning Workflows with Pipelines in Python and scikit-learn: