- winequality.csv - Dataset
- Phase1_Python - Naive Linear Regression Model (DL approach) with the capability to save and load the model.
- Phase2_Python - a.) AbstractClass_ML_Model.py - Implemented an AbstractBaseClass to implement TF model encapsulation. b.) DriverModule.ipynb c.) DriverModule.py - The module that reads the data from the dataset, creates model, and call train() on each datapoint, uses the trained model to perform prediction. d.) TensorflowClass.py - Worker Module - Class implementing the ABC that encapsulates TF model.
- Phase1_Scala - Naive Linear Regression model - ML & DL