Course Description

"Made with ML" is a comprehensive course designed to teach individuals with a passion for machine learning how to build and deploy real-world projects. In today's world, machine learning is rapidly changing the way we live, work, and interact with technology. As a result, there is an increasing demand for skilled professionals who can create intelligent systems that can learn and adapt to new data. This course is designed to take students on a journey from beginner to advanced level in machine learning. It provides a hands-on approach to learning, enabling students to work on actual projects and build real-world solutions using the latest tools and technologies. The course is divided into several modules, each focusing on a specific aspect of machine learning. The first module is an introduction to machine learning, where students learn the basics of machine learning and its various applications. They will learn about the different types of machine learning algorithms, such as supervised and unsupervised learning, and how to choose the right algorithm for a specific problem. The second module covers data preparation and feature engineering. Here, students learn how to collect, clean, and preprocess data, and how to extract meaningful features that can be used for training machine learning models. They will also learn how to handle missing data and outliers, and how to normalize and standardize data for optimal performance. The third module covers model training and evaluation. Students will learn how to select the best model for a specific problem, and how to train and evaluate models using various techniques such as cross-validation and hyperparameter tuning. They will also learn about common evaluation metrics such as accuracy, precision, and recall. The fourth module covers deployment and productionizing of machine learning models. Here, students will learn how to deploy machine learning models to production environments, and how to scale them to handle large volumes of data. They will also learn about the various tools and technologies used for deploying machine learning models, such as Docker and Kubernetes. Overall, "Made with ML" is an excellent course for anyone looking to learn machine learning from scratch and build real-world solutions. It is designed to be accessible to individuals with little or no prior experience in machine learning, while also providing advanced topics for those looking to expand their skills. The course provides a solid foundation in machine learning that can be applied to a wide range of industries and applications, including healthcare, finance, and cybersecurity. Author: Goku Mohandas (Applied ML · MLOps · Production)