NazarioR9/BNBR_Challenge

The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alchoholism, and drug abuse. # Basic Needs Basic Rights Kenya - Tech4MentalHealth ## Brief Description The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alchoholism, and drug abuse. For more information about this challenge, have a look on Zindi. ## Repo Structure |----bnbr (package) |       |--- . . . |       |--- *{module}.py* |       |--- . . . | \ |----data (placeholder for raw and preprocessed data) |       |--- Train.csv |       |--- Test.csv |       |--- SampleSubmission.csv |       |--- . . . \ | \ |----mask_language_modeling |       |--- MLM_BertBase_finetuning.ipynb |       |--- MLM_RobertaBase_finetuning.ipynb |\ |----notebooks |       |--- BNBR_PreProcessing.ipynb.ipynb |       |--- TranslateWithTransformers.ipynb |       |--- MLMRobertaBaseGenericModel.ipynb |       |--- MLMBertBaseGenericModel.ipynb |       |--- Blend_roberta_roberta_bert.ipynb |\ |----translated |       |--- TRANSLATE_THE_DATA.ipynb |       |--- second_roberta.ipynb |\ |---- Readme.md PS: This isn't the definitive structure. During the code execution, new directories will be created. ## How to run the code ### Steps ``` # 1. Make sure to follow the repo structure # 2. Run 'notebooks/BNBR_PreProcessing.ipynb' # 3. Run 'translated/TRA …