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DSTC-01016 Online (e-LMS) Graduate / Intermediate

Battery Genome Project: Advanced Feature Engineering for Accurate Degradation Modeling

by - DSTC

Master Battery Genome Project: Advanced Feature Engineering for Accurate Degradation Modeling in 4 weeks through hands-on, project-based online training with DSTC.

★★★★★ Be the first to review 3 Days · 4.5 hrs e-Certificate Included
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From ₹2,500 + GST

📚 Syllabus & Course Curriculum

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.

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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

Earn government-registered certification in Battery Genome Project: Advanced Feature Engineering for Accurate Degradation Modeling

e-Certificate and e-Marksheet issued on successful completion.

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