Machine Learning Life Cycle

Machine Learning life cycle or Machine Learning Development Life Cycle to be precise can be said as a set of guidelines which need to be followed when we build machine learning based projects. Machine learning life cycle is a cyclic process to build an efficient machine learning project. The main purpose of the life cycle is to find a solution to the problem or project. A beginner always think that making a machine learning project is just about finding accuracy of model or performing EDA(Exploratory Data Analysis).But when it comes to real life product there are lot of stuff which needs to be consider to make a end-to-end applications.So lets see what are various steps involved in making real world machine learning projects. This is the basic as well as an essential step in developing machine learning project.