PyTorch implementations of the beta divergence loss.
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Updated
Jan 31, 2022 - Python
PyTorch implementations of the beta divergence loss.
Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin
This project predicts used car prices using a feedforward neural network regression model implemented in PyTorch. Features include car age, mileage, and other attributes. The pipeline supports feature normalization, train/validation/test splitting, and visualization of training and validation loss curves.
ai task one - uses a linear regression ML model to predict office prices based on office size
This project provided practice with logistic regression and the cost functions MSE and log loss
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