ML Learning Roadmap & Pipeline Architecture Planner

1. Curriculum Strategy & Modules

Choose your learning strategy and specialization track as highlighted in the community advice.

Core Fundamental

Master Python 3, NumPy vectorization, Pandas DataFrames, and Matplotlib/Seaborn.

Recommended Resources: Andrew Ng Coursera, Krish Naik playlist, Scipy Docs

Test your project setup against critical real-world failure modes: data leakage, bad validation splits, and misleading metrics.

Project Name & Objective

Train/Validation Split Order

Dataset Imbalance & Metric Choice

Deployment & MLOps Strategy

Architecture Health: Robust & Sanity-Checked

No data leakage detected. Proper split isolation and calibrated metrics are in place.

Export concrete verifiable milestones demonstrating measurable outcomes.