2
votes
Accepted
If you are making a ensemble model does training data on base models have to be different from one another
When ensembling, you need some method of introducing diversity into your models (otherwise all your models will make the same prediction, so ensembling them won't improve the results). Using different ...
- 415
1
vote
Accepted
Str.contains and isin function do not return all correct rows of dataframe
You can use the str.contains method for this using a regex pattern:
...
- 5,989
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What Preprocessing is Needed for Semantic Search Using Pre-trained Hugging Face Transformers?
Resumes are quite different from classic text because there are many proper nouns (names, companies, places, etc.) and other data difficult to classify (phone numbers, marks, age, etc.).
That's why ...
- 2,478
1
vote
Topic modelling or Keyword extraction for a small dataset
Maybe a simpler solution like below would help? I am not a fan of topic modeling because i feel results wont be worth the effort.
To understand what the people are talking about here:
Use ngram ...
- 408
1
vote
Python library for recommendation engine
You can use Collaborative Filtering.
Collaborative filtering (CF) and its modifications is one of the most commonly used recommendation algorithms. Even data scientist beginners can use it to build ...
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