test - #6
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mohammadaafrin05 wants to merge 11 commits into
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- Implemented `train.py` to train a Random Forest model on processed disease data and save the model as a pickle file. - Created `preprocess.py` to load raw disease and symptoms data, normalize column names, and one-hot encode symptoms, saving the output as `processed_data.csv`. - Added a new binary file `disease_predictor.pkl` for the trained model. - Introduced absolute paths for data and model directories to ensure compatibility across environments.
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