ML Beginner Roadmap & Project Builder

1. Milestone Curriculum 0 / 5 Done

Select a milestone

2. Personal Dataset & Kaggle Lab Practical Rule #1

"Write your own data in Excel from real life. Inspect CSV vs TSV, prevent leaks, then upload to Kaggle."

Domain / Project Topic

Target Format

CSV (Comma-Separated)

TSV (Tab-Separated)

Parquet (Production)

Dataset Schema Preview

date,cups_coffee,bedtime_hour,sleep_latency_min
2026-08-01,3,23.5,45
2026-08-02,1,22.0,15
2026-08-03,4,24.0,60
2026-08-04,0,21.5,10

3. Data Leakage & Reading Filter Prevent Zero-Day Bugs

Data Leak Prevention Checklist

Split Before Fit: Never fit StandardScaler or imputers on full dataset before train/test split.

Target Leak: Ensure target variable isn't indirectly embedded into features (e.g., future timestamps).

Focused Reading (Curated vs Overload)

Essential Only (No Overload)

Show All Reference Books

Current Stage: Classical Foundations

Next Action: Focus on linear & logistic regression with personal data before attempting Deep Learning or LLM fine-tuning.