Practical Full Stack Machine Learning

Master the ML process, from pipeline development to model deployment in production. Key Features ● Prime focus on feature-engineering, model-exploration & optimization, dataops, ML pipeline, and scaling ML API. ● A step-by-step approach to cover every data science task with utmost efficiency and highest performance. ● Access to advanced data engineering and ML tools like AirFlow, MLflow, and ensemble techniques. 'Practical Full-Stack Machine Learning' introduces data professionals to a set o