Milk Quality Prediction.git

This project builds a machine learning pipeline to predict the quality of milk (low, medium, or high) based on a variety of physicochemical properties such as pH, temperature, fat content, and more. The goal is to help dairy producers ensure consistent product quality and reduce contamination risks through data-driven insights.

Tools Used: Python (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn), Jupyter Notebook

COVID19-Cluster

In this project, I attempted to cluster published literature on COVID-19 and reduce the dimensionality of the dataset for visualization purposes. This allowed for an interactive scatter plot of papers related to COVID-19, grouping materials with similar themes together.

Tools Used: Python, Pandas

MediAssist: Fine-tune LLaMA-2

This repository contains my submission for the Machine Learning Engineer Job Assessment. The task involves building a pipeline to fine-tune a large language model (LLaMA-2-7B) using synthetically generated healthcare dialogue data. It demonstrates proficiency in data handling, prompt engineering, transformer-based model training, and evaluation.

Tools Used: Python, PyTorch, HuggingFace Transformers, PEFT

Exploring Cryptocurrency Market

Exploring the Bitcoin cryptocurrency market to better understand the growth and impact of Bitcoin and other cryptocurrencies. This project explores the market capitalization of different cryptocurrencies.

Tools Used: Python, Pandas, JSONL