Capstone — End-to-End ML-Omics Project — Hands-on

Bring together biostatistics, ML, deep learning, reproducibility and MLOps concepts in one integrated end to end project. In this capstone you will frame a problem, explore and preprocess data, build and validate models, create visual analytics and deliver a reproducible analysis package suitable for internal or publication style review.

Capstone — End-to-End ML-Omics Project

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Session Index

Session 1 — Problem Brief, Data & Planning Session 2 — Modeling, Validation & Iteration Session 3 — Interpretability, Visual Analytics & Reporting Session 4 — Final Packaging, Review & Presentation

Session 1

Fee: Rs 8800

Problem Brief, Data & Planning

Selecting or receiving a capstone problem brief

omics or clinical prediction style tasks defining targets, cohorts and endpoints clarifying success and evaluation criteria

Data understanding, QC and preprocessing plan

EDA for distributions, missingness and outliers batch, confounders and leakage risks documenting planned transformations

Project structure, timeline and reproducibility setup

folder layout for data, code and outputs Git repo initialisation and environment files simple analysis plan document

Session 2

Fee: Rs 11800

Modeling, Validation & Iteration

Baseline models and feature engineering passes

simple linear or tree based baselines scaling, encoding and feature selection ideas tracking experiments and results table

Validation design and model comparison

train validate test or CV splits metrics for discrimination and calibration avoiding overfitting and leakage

Refinement cycles and simple AutoML or HPO use

structured iteration rounds hyperparameter search with logs selection of one or two final candidate models

Session 3

Fee: Rs 14800

Interpretability, Visual Analytics & Reporting

Explaining models and checking stability of insights

feature importance and partial dependence style views simple SHAP or surrogate model based explanations sanity checks on interpretation

Designing figures and dashboards for the project

EDA and model performance figure set key plots for subgroups and risk profiles optional interactive dashboard outline

Drafting the main report and summary narrative

problem, methods, results, limitations sections alignment with FAIR and reproducibility practices preparing review friendly appendices

Session 4

Fee: Rs 18800

Final Packaging, Review & Presentation

Reproducible packaging and handover bundle

clean Git repo with tags and README environment and run instructions data dictionary and metadata tables

Peer and mentor review walkthrough

live rerun of key analysis steps discussion of choices and trade offs capturing feedback and improvement notes

Short presentation and next steps planning

slide deck with goals, methods and outcomes ideas for extension, deployment or publication personal reflection on skills and portfolio use

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Capstone — End-to-End ML-Omics Project Training | Biostatistics & ML for Omics

Capstone — End-to-End ML-Omics Project — Hands-on