Fine-Tune T5 for Document Classification - Part 1: Creating Dataset with Web Scraping
Offered By: The Machine Learning Engineer via YouTube
Course Description
Overview
Learn how to personalize a Flan-T5 model for document classification using your own dataset in this 16-minute tutorial. Discover the process of collecting information from DuckDuckGo using a web scraper, focusing on the first part of creating a custom dataset. Explore the provided Python script on GitHub to understand the implementation details of the web scraping technique. Gain valuable insights into preparing data for fine-tuning a T5 model, setting the foundation for improved document classification tasks.
Syllabus
Fine Tune T5 for Document Classification Part 1 (Create Dataset / Web Scrapping )
Taught by
The Machine Learning Engineer
Related Courses
Data Wrangling with MongoDBMongoDB via Udacity Getting and Cleaning Data
Johns Hopkins University via Coursera 用Python玩转数据 Data Processing Using Python
Nanjing University via Coursera Introduction to NodeJS
Microsoft via edX 用 Python 做商管程式設計(三)(Programming for Business Computing in Python (3))
National Taiwan University via Coursera