This course provides a comprehensive understanding of the fundamental concepts and techniques involved in data preprocessing. Data preprocessing is a crucial stage in machine learning projects, as it involves preparing the data for modeling. It bridges the gap between importing and cleaning the data and fitting the machine learning model. Throughout this course, you will acquire the skills to standardize the data, ensuring it is in the appropriate format for your model. Additionally, you will learn how to create new features that effectively utilize the information within your dataset. Furthermore, you will gain expertise in selecting the most relevant features to enhance the accuracy of your model. To reinforce your understanding, you will engage in practical exercises involving the preprocessing of a UFO sightings dataset, preparing it for modeling.