Machine Learning Essentials Boot Camp / Part 1: Preparing Your Data (TTML5510)

Throughout the course you will explore: Data Encoding: Dive into data encoding to seamlessly translate diverse information into a machine-friendly format. Data Manipulation Mastery: You’ll get comfortable with encoding, scaling, and normalizing data. By the end of the course, the curse of dimensionality will no longer be a challenge. Quality Analysis Confidence: Learn how to identify and remove duplicates, handle null values, manage outliers, and work with dates in your data. You’ll be a pro at maintaining clean datasets. Feature Analysis Wizardry: Discover how to identify unused columns, detect low variance ones, and understand multicollinearity. By the end of the workshop, feature selection will feel like second nature. Pipeline Proficiency: Gain a deep understanding of the critical role of pipelines in machine learning and develop the skills to create and implement your own data preprocessing pipelines. Machine Learning Basics: Get introduced to the fundamentals of machine learning, understand k-fold cross-validation, master the art of partitioning data, and learn how to prevent data leakage. You’ll be set to step confidently into the world of machine learning.