Exploring the Bacterial Genome Using Data Science

Antimicrobial resistance (AMR) poses a significant global threat to our ability to treat common bacterial infections and save lives. Hidden in bacterial genomic DNA is the key to understanding the causes of resistance, and hence our ability to treat these infections. In this Build Project, you'll wear the hat of a Data Scientist and build a simple machine learning pipeline to turn raw data into an AMR prediction. Under the supervision of an experienced industry expert, you'll get exposed to genomic data processing approaches, featurization for machine learning, training machine learning models and how to fairly evaluate and analyze your model’s performance. You'll become familiar with common industry tools and approaches like Python, Git & GitHub, data science packages (pandas, scikit-learn), cross validation and hyperparameter tuning amongst others. You'll become familiar with common industry tools and approaches like Python, data science packages (pandas, scikit-learn), cross validation and hyperparameter tuning amongst others.