Data Engineering Basics for AI: Supervised & Unsupervised Learning, NLP, EDA, and Data Cleaning
In this video, we dive into the foundational concepts of data engineering for AI, including supervised and unsupervised learning, an introduction to natural language processing (NLP) and its types, and the essentials of exploratory data analysis (EDA) and kinds of EDA for AI projects. Learn the purpose of EDA and data cleaning and why they're essential for preparing reliable datasets for machine learning models. Perfect for beginners looking to understand data preparation for AI!
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