PyTorch implementations of the beta divergence loss.

Bayesian Regression of Latent Source Modelling for Predicting Price Variation of Bitcoin

This project provided practice with logistic regression and the cost functions MSE and log loss

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