Stochastic Gradient Trees implementation in Python
Implementation of a Feedforward Neural Network for intent classification using only Python and NumPy. The model classifies user intents from text input using the Sonos NLU Benchmark dataset.
Machine Learning Project
This project aims to analyze the heart failure dataset to build a classifier that identifies the most important factors and allows predicting death from heart failure.
MATLAB C++ MEX code of BISN (Bayesian Inference of Sparse Networks)
Stochastic Gradient Trees implementation in C++, Python
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