This course will introduce you to JADBio AI, an innovative platform that simplifies the complicated process of data processing. JADBio AI uses machine learning and artificial intelligence to automate data science tasks, making it accessible to everyone, including those without a technical experience. Throughout this course, you will learn how to maximise the potential of JADBio AI for data analysis, modelling, and insights.

The course will cover JADBio AI's main features, beginning with data preprocessing techniques such as handling missing data, normalisation, and feature selection. You will learn how JADBio automatically selects the most relevant features, ensuring that your models are accurate and efficient, even when dealing with large datasets.

This course also covers how to evaluate model performance. You'll learn how JADBio AI automatically evaluates the efficiency of your models, utilising complex metrics and validation methodologies to achieve the best results. You'll also get hands-on experience comparing various models to see which one works best with your data.

By the end of this course, you will have a thorough understanding of how to use JADBio AI for a variety of data science applications.