Prepare for Your Machine Learning Interview is a comprehensive course designed to help you properly prepare for a Machine Learning Interview. Throughout the course, you will gain the necessary knowledge and skills to confidently answer 15 common Machine Learning (ML) interview questions specifically tailored for a data scientist role. The course is structured around seven key topics that are crucial in the field of machine learning: data preprocessing, data visualization, supervised learning, unsupervised learning, model ensembling, model selection, and model evaluation. Each topic will be covered in depth, providing you with a solid understanding of the concepts and techniques involved. To ensure a well-rounded learning experience, the course begins with a focus on data preprocessing and data visualization. You will learn how to effectively preprocess data and create visualizations that aid in understanding and analysis. Building on this foundation, you will then delve into supervised learning techniques, followed by unsupervised learning. This comprehensive approach ensures that you are well-prepared for any machine learning interview, regardless of the specific focus. The course also emphasizes practical application, allowing you to hone your skills by creating a predictive ML model. Through hands-on exercises, you will gain valuable experience in implementing the concepts and techniques learned. Additionally, you will explore model selection and evaluation, learning how to assess performance and build ensemble models. By the end of the course, you will possess both the theoretical knowledge and practical coding skills necessary to successfully answer the 15 interview questions. The coding examples provided throughout the course primarily utilize the scikit-learn package, known for its user-friendly interface and comprehensive coverage of essential machine learning techniques in Python. It is important to note that this course assumes a foundational understanding of machine learning fundamentals, as these are covered in the course's prerequisites. With this course, you will be well-equipped to confidently tackle any machine learning interview and showcase your expertise in the field.