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Assignment #9 Updated

Written on 13.06.25 by Monseej Purkayastha

Hi everyone,

There was a typo in the assignment pdf, which has been corrected now. Please use the updated version for your assignment.

Best regards,
Your SNLP Tutors

Assignment #9 Released

Written on 11.06.25 by Monseej Purkayastha

Hi everyone,

Assignment #9 has been released. The deadline for this assignment is June 18, 2025 at 23:59.

Best Regards,

Your SNLP Tutors

Assignment #8 Updated

Written on 09.06.25 by Oliver Bintriem

Hi everyone,

Note that Assignment 8 got updated, as for exercise 4.2 the wrong graphs were attached with the assignment.

Please take a look at this exercise again and consider the new graphs.

Best regards,

Your SNLP Tutors

Assignment #8 Released

Written on 04.06.25 by Oliver Bintriem

Hi everyone,

Assignment #8 has been released. The deadline for this assignment is June 11, 2025 at 23:59.

Best Regards,

Your SNLP Tutors

Assignment #7: Modified + Deadline Extended

Written on 03.06.25 by Mikhail Sonkin

Hi everyone,

Due to the difficulties you've expressed with the latest assignment, we have uploaded another version of it. Note that the only differences are:

1. The sizes of the datasets (500 & 300 entries)

2. The uni- and bigram in Exercise 1

The finance dataset remains the same size,… Read more

Hi everyone,

Due to the difficulties you've expressed with the latest assignment, we have uploaded another version of it. Note that the only differences are:

1. The sizes of the datasets (500 & 300 entries)

2. The uni- and bigram in Exercise 1

The finance dataset remains the same size, because the bonus exercise calls for more resources.

Because of the late adjustment, the new deadline for Assignment 7 is Friday, 06.06.2025, 19:00.

Have a nice week,

Your SNLP Tutors

Assignment #7: Large Datasets

Written on 03.06.25 by Mikhail Sonkin

Dear students,

it seems like for some of you the smaller datasets still yielded memory errors. I apologise if this has caused to hinder your progress with the assignment.

This is to notify that you can cut the provided datasets to create smaller matrices. As long as the underlying code is… Read more

Dear students,

it seems like for some of you the smaller datasets still yielded memory errors. I apologise if this has caused to hinder your progress with the assignment.

This is to notify that you can cut the provided datasets to create smaller matrices. As long as the underlying code is correct, we will grant you the full points, no matter what the data size is.

Best regards,

Mikhail Sonkin

Assignment #7 Modified

Written on 30.05.25 by Mikhail Sonkin

Dear all,

please note that Assignment #7 was just updated: in Exercise 2 you need to train a decision tree classifier instead of Random Forest.

Also, it's been mentioned that some of you weren't able to complete the assignments due to the large datasets. The newly published assignment has… Read more

Dear all,

please note that Assignment #7 was just updated: in Exercise 2 you need to train a decision tree classifier instead of Random Forest.

Also, it's been mentioned that some of you weren't able to complete the assignments due to the large datasets. The newly published assignment has smaller samples of the same datasets: feel free to use those. If there are any other issues you run into, please ask them on the forum!

Have a nice weekend,

Your SNLP Tutors

Assignment #7 Released

Written on 28.05.25 by Mikhail Sonkin

Hi everyone,

Assignment #7 has been released. The deadline for this assignment is June 4, 2025 at 23:59.

Best Regards,

Your SNLP Tutors

Assignment #6 Updated

Written on 25.05.25 by Monseej Purkayastha

Hi everyone,

We wanted to inform you about a small correction in the notebook for Exercise 6.3 in Assignment #6. Initially, the notebook code was only performing standard 1-fold cross-validation instead of the intended 5-fold cross-validation. This issue has now been fixed.

Important: Your task… Read more

Hi everyone,

Important: Your task remains unchanged — you only need to complete the functions in exercise_3.py. The updated code will now correctly handle 5-fold CV on its own.

If you’ve already modified the driver code to implement 5-fold CV yourself, that’s absolutely fine. In that case, please just leave a short comment indicating the lines where you made changes.

Best regards,
Your SNLP Tutors