This is the project that I Worked on during In-class competition held in my Machine learning Course
Note- Please use python version 3.7.6 (as it was in kaggle) because of the usage of f string and all.
Two submission on which final scoring was done is
1> score 0.63633 (best) (Which is seen on leader board)
Report.pdf -> is the report which describes different things we tried and all the machine learning models that we tried best_score.py (Without stemming) vis.py (For EDA)
About code->
-Please change the paths in data loading section and also submission file is loaded in the end of each script so please change the path there
-this scripts were tested on kaggle.
-Code also has print statements so when running it will show different process that are performed.
How to run and what to run
To reproduce 1 run the script best_score.py -> it will produce the submission file best_score.csv
To produce the EDA part which was mentioned in report and presentation run vis.py