Multiple Files about a 2D Linear Regression Model

dataset.csv -> Generated 2D Dataset, optimized for Linear Regression

params.json -> Weights and Bias, saved in JSON

rate_scheduling.py -> Traing via Gradiant Descent and adapting Learning Rate

reset.py -> Reseting JSON parameter to near Zero

test.py -> Plotting the Regression Function and the Datapoints

train.py -> Training via Gradiant Descent with fixed epochs and no extern modules

train_touch.py -> Training via PyTorch

unlim_train.py -> Training via Gradiant Descent, using early stopping