课程: AutoML: Build Production-Ready Models Quickly!
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Solution: Multi-class text classification - Python教程
课程: AutoML: Build Production-Ready Models Quickly!
Solution: Multi-class text classification
(bouncy music) - [Instructor] Let's walk through the exercise together. Our task is to perform multi-class text classification using AutoTrain on the AG News Classification Data Set. This data set is available through Kaggle and I have it open here. The news articles belong to four categories. There is world, sports, tech, and business. And you can download this data set by clicking the download button at the top. Now I have already downloaded my own data set and I have it open in this notebook. Data set contains three columns. Class index, which represents the category of the news article, and then the title, and description of the article. There are about 120,000 news articles in this data set, so our sample 2,500 rows and write to a new file so that we can stay within the free tier of AutoTrain. I've already done all of this, so I'll just add straight to AutoTrain portal and then we can begin our project. We can see…
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内容
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NLP: How do you handle text data?1 分钟 51 秒
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Introducing HugginFace AutoTrain4 分钟 31 秒
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Formatting and uploading your data for your task3 分钟 16 秒
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Training your AutoNLP model and making predictions7 分钟 3 秒
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Challenge: Multi-class text classification1 分钟 5 秒
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Solution: Multi-class text classification4 分钟 45 秒
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