This project implements a Skip-Gram model for learning word embeddings using a dataset of hotel reviews. The model is trained to predict context words from a target word, enabling it to capture the ...

A small end-to-end project that trains and serves a fake-news classifier using a Word2Vec embedding + Keras classifier. The repository includes utilities for preprocessing, model loading, and a ...

Machine learning is a complex discipline but implementing machine learning models is far less daunting than it used to be. Machine learning frameworks like Google’s TensorFlow ease the process of ...