Data Preparation Tips and Tricks for Machine Learning
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore data preparation techniques for machine learning in this comprehensive one-hour video tutorial. Learn about filtering and deduplication using FineWeb, balance concepts with hierarchical k-means filtering, and see a live demonstration of dataset balancing using OpenAssistant. Dive into topics like handling labeled data, setting chat templates for tokenizers, addressing hallucinations, and working with mixed-language datasets. Gain insights on text classification models, extracting structured data from PDFs, multi-GPU training, and implementing RAG pipelines. Access additional resources and a Colab notebook to enhance your understanding of data preparation strategies for optimal machine learning outcomes.