Machine Learning for Absolute Beginners: Start Your AI Journey Today! | Module 2
Welcome to Module 2 of our Machine Learning series! In this video, we’ll take a deep dive into Data Preparation, a crucial step in building accurate and reliable machine learning models. From data collection methods like APIs, web scraping, and databases, to cleaning and preprocessing data by handling missing values, outliers, and normalization — we’ve got it all covered! Learn the secrets of feature engineering to create relevant features, and how to properly split datasets into training, validation, and test sets.
This video includes sample code, step-by-step explanations, and real-world examples, making it easy for you to follow along and master the essentials of data preparation. Don’t miss out on this valuable module — be sure to subscribe and hit the notification bell to stay updated with more advanced machine learning tutorials!
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