Lab work based on next kaggle competition. The task is to predict the quality of the post on stackoverflow based on its content. Classical methods such as vectorizations (BOW, tf-idf), pretrained word embeddings and deep learning methods are used in this work.
The task was to gather your own dataset and train nlp model on it to make style-unique text generation.