Machine Learning Pipelines helps in automating the process of the lifecycle of a machine learning model. It automates the lifecycle of data validation, preprocessing, training and deployment on a new dataset. In this article, I will take you through Machine Learning Pipelines and its implementation using Python.
What are Machine Learning Pipelines?
A machine learning pipeline is a simple way to keep the entire process of training a machine learning model in a very organized way. Think of a machine learning pipeline as a collection of all the steps you use to train a machine learning model, and a pipeline can be used in a single step on a new set of data while working on the same kind of problem.
Besides automating the process of training a model on a news dataset, machine learning pipelines provides more advantages such as:
- It provides the opportunity to focus on training new machine learning models for more problems and not stick to the same type of problem.
- It helps in prevention of bugs.
- It helps in spending more time working on new problems.
- It helps in updating existing models very easily.
Machine Learning Pipelines using Python
Machine learning pipelines include all the steps that we need to use in general when training a machine learning model, such as:
- Data Collection
- Data Cleaning
- Feature Extraction
- Model Validation
Now let’s see how to implement a machine learning pipeline using Python. The Scikit-Learn library in Python provides “sklearn.pipeline” which we can use to implement a machine learning pipeline using Python. Now let’s import the dataset and start with the task of implementing machine learning pipeline using Python:
[1663200. 1921000. 2922000. … 1813470. 373000. 1144000.]
As you can see, I started this task by splitting the data into training and test sets. In a realtime machine learning task, we do this step after completing data cleaning, feature engineering and validation. So in a machine learning task, you have to implement a machine learning pipeline while training a model.
So this is how you can implement a machine learning pipeline using the Python programming language. I hope you liked this article on what is a machine learning pipeline and its implementation using Python. Feel free to ask your valuable questions in the comments section below.