feat: implement new models and improve UI, #23

backup stable api and model service before pipeline testing

feat: add streamlit base. #12

clean lfs history

feat: add new structure for augmentation. #6

feat:add new model transformers. #17

feat: add data augmentation and new optuna tuning. #6 , #9

feat: add new gap for rubric. #6

feat: add ensemble and optuna. #5 #6 #9

fix: Try new values for c=0.1 and c=0.4. #5

fix: new c=0.1 for training baseline and add custom_stopwords. #5

feat: add baseline notebook with overfitting. #5

feat: add vectorization notebook. #4

fix: change the name of the experiment. #3

feat: add preprocessing, new version. #3

feat: add preprocessing. #3

fix: change versions. #2

feat: add first EDA. #2

feat: add structure. #1