An app I built using beeware, toga, python and java to track which days are collection days for the bins. It sends a notification the day before reminding me which bin to take out.
My thesis analysed serum metabolites found from performing untargeted metabolomics using LC/MS on serum from known pancreatic cancer patients. I built an ML pipeline in Python, from data loading and cleaning through model training and testing to final model results. An excel list of high impact metabolites were extracted and used for pathway analysis.
Mitochondrial Encephalomyopathy, Lactic Acidosis and Stroke-like Episodes [MELAS] is a severe genetic disease. The mitochondrial dysfunctions are thought to be caused by mtDNA mutations, where MTTL1 gene is the most commonly mutated gene.
Python, SciKit, Jupyter, Pandas, SVM, Excel, Git, Github
A SVM model to predict Breast cancer from the Wisconsin Breast Cancer data set. Classifies whether a patient's diagnosis is benign (non cancerous) or malignant (cancerous).
Data used under CC BY-NC-SA 4.0 license.