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rishanu98/Student-Performance-Analysis

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End to End Machine Learning Project

Repository Structure:

src/logger.py: scripts for logging Information

src/exception.py: for handline exception

src/utils.py: To load and save the .pkl file

src/components/data_ingesion.py: For loading the dataset and converting train and test dataset

src/components/data_transformation.py: To transform and preprocess data using ML Pipeline and ColumnTransformer

src/components/model_trainer.py: To train and find the best model suited for the dataset

app.py: File contains Flask web app code

Docker: Docker file to build docker image name as rishanu68/student_performance

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