Documentation
Sagemaker ML model for determining if a sentence is question/no question
Previous version was a rough draft and often returned sentences as nonsense or "garbled text". I removed the garbled text classification, and made the algorithm to detect only whether the sentence is a question or a statement. Also added a dataframe visualization with sentences to show accuracy.
Time
Description
Time taken
1. Research of ML Models
4 hours
2. Analyzing and understanding peers codebase
4 hours
3. Rewriting and testing algorithm
6 hours
Test
log into AWS
open the sage maker instance name NLTK-question-script
close #120
Documentation Sagemaker ML model for determining if a sentence is question/no question Previous version was a rough draft and often returned sentences as nonsense or "garbled text". I removed the garbled text classification, and made the algorithm to detect only whether the sentence is a question or a statement. Also added a dataframe visualization with sentences to show accuracy.
Test
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