Machine learning (ML) development involves creating and implementing algorithms and models that enable computer systems to learn from data and improve their performance over time without explicit programming. It is a branch of artificial intelligence that focuses on enabling computers to make data-driven predictions or decisions. Machine learning development encompasses tasks such as data preprocessing, feature engineering, model selection, training, evaluation, and deployment. With the expertise of skilled developers and the use of various machine learning frameworks and technologies, machine learning development aims to unlock the potential of data and enhance the capabilities of applications in various domains.