Understanding Deep Learning - Simon J.D. Prince

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…

100 Days of ML Coding

This repo explores multi-label emotion classification using pretrained encoder (RoBERTa, DistilBERT) and decoder models with LoRA (Gemma, Llama-3.2-1B, Stella). It compares dense vs generative appr…

This repository explores multi-label text classification using two distinct embedding strategies: dense embeddings (embedding bag) and sparse embeddings (TF-IDF). The notebooks demonstrate how thes…

A spam detection model built to handle imbalanced data using small pipelines. This project walks through text preprocessing, model tuning, and performance evaluation with ROC-AUC curves and classif…

Creating a machine learning model to predict future stock price.