Machine Learning Pipeline: A Step-by-Step Guide
Before getting into the Machine learning pipeline, which is a pivotal aspect of machine learning, knowing what a pipeline is and why it is required is essential. A pipeline is a series of connected steps or a structured process that ensures the proper and systematic working of a particular element. For instance, let us consider human life moving through several stages of growth and development in his/her life i.e. from childbirth to senior old age, and ultimately the end of the life. Similarly, Machine learning also comprises of a pipeline that automates the workflow of a full machine-learning task. It helps to ensure the smooth development and deployment of ML models. An ML pipeline normally involves components such as input data, feature extraction, outputs, model parameters, machine learning models, and predictions. It comprises multiple consecutive steps that perform everything ranging from collection of data, and pre-processing and can be extended to model training and deployment ...