Introduction - Course Agenda
Machine Learning Terminology & Process For Beginners
Course overview
The Machine Learning Terminology & Process For Beginners course is an online course that is designed for individuals who want to learn the fundamentals of machine learning. The course covers the basic terminology and concepts used in machine learning, as well as the machine learning process.
The course is divided into several sections that cover different topics. The first section provides an introduction to machine learning, which includes an overview of the different types of machine learning, such as supervised, unsupervised, and reinforcement learning. The section also covers the basics of data preprocessing and feature engineering, which are essential steps in the machine learning process.
The course then covers the machine learning process in detail, including data splitting, model selection, and model evaluation. The section also covers the basics of model training and hyperparameter tuning.
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