These 2 assignments are part of the assignments in the course Mathematics for Machine Learning . They were hosted as kaggle competitions.
Assignment 1 - https://www.kaggle.com/competitions/finalmathematics-for-machine-learning-assignment-1?rvi=1
Assignment 2 - https://www.kaggle.com/competitions/mathematics-for-machine-learning-assignment-2
The clinical term extraction is part of our course project for MML. It focuses on Named-Entity-Recognition(NER) which involves building a Logistic regression model to classify the medical speciality based on the transcriptions, processing text using NLP,using PCA for dimensionality reduction, using a pretrained model called scispacy for extracting clinical terms from our dataset which consists of medical text.