Yes the task is very clear. Maybe one suggestion is to change language from build a classifier to provide more details. Create a Rule based clasifier which calculates cosine similarity between sentence and all given classes and assign it to class where it has maximum cosine similarity
This would be a very good excercise and test coding as well as general understanding of the candidate. If a person is able to achieve even 90% of this, they should be a good candidate
It should be good enough for middle level and senior DS engineer.
If you want to complicate it maybe instead of count vecoriservectoriser you can ask them to code TF-IDF
Yes the task is very clear. Maybe one suggestion is to change language from build a classifier to provide more details. Create a Rule based clasifier which calculates cosine similarity between sentence and all given classes and assign it to class where it has maximum cosine similarity
This would be a very good excercise and test coding as well as general understanding of the candidate. If a person is able to achieve even 90% of this, they should be a good candidate
It should be good enough for middle level and senior DS engineer.
If you want to complicate it maybe instead of count vecoriser you can ask them to code TF-IDF
Yes the task is very clear. Maybe one suggestion is to change language from build a classifier to provide more details. Create a Rule based clasifier which calculates cosine similarity between sentence and all given classes and assign it to class where it has maximum cosine similarity
This would be a very good excercise and test coding as well as general understanding of the candidate. If a person is able to achieve even 90% of this, they should be a good candidate
It should be good enough for middle level and senior DS engineer.
If you want to complicate it maybe instead of count vectoriser you can ask them to code TF-IDF
Yes the task is very clear. Maybe one suggestion is to change language from build a classifier to provide more details. Create a Rule based clasifier which calculates cosine similarity between sentence and all given classes and assign it to class where it has maximum cosine similarity
This would be a very good excercise and test coding as well as general understanding of the candidate. If a person is able to achieve even 90% of this, they should be a good candidate
It should be good enough for middle level and senior DS engineer.
If you want to complicate it maybe instead of count vecoriser you can ask them to code TF-IDF