Master Battery Genome Project: Advanced Feature Engineering for Accurate Degradation Modeling in 4 weeks through hands-on, project-based online training with DSTC.
Bioinformatics & Computational Biology
Module-by-module breakdown of Battery Genome Project: Advanced Feature Engineering for Accurate Degradation Modeling, from foundations to a certified capstone project.
Outline
Understand battery types, working principles, and lifecycle behavior • Analyze capacity fade, cycle aging, and failure mechanisms • Import, clean, and visualize cycle data in Google Colab
Outline
Explore AI’s role in health monitoring and lifetime estimation • Engineer predictive features and build regression models • Develop a simple ML model to forecast capacity fade in Google Colab
Outline
Interpret feature importance and degradation drivers • Tune, validate, and compare model performance • Generate research‑ready analysis and visualizations
e-Certificate and e-Marksheet issued on successful completion.