Day 13/365: R Simulations 🔥 Frequentist View + Monty Hall 🤯 | Conditional Probability COMPLETE

Day 13 of my Quant Journey 🚀

Today I took conditional probability beyond theory and brought it to life using R simulations. Covered the frequentist interpretation of probability and implemented simulations to truly see probability converge.

Also tackled the legendary Monty Hall problem — and proved (again) why switching wins 😏

And with this, Chapter 2: Conditional Probability is officially DONE ✅

This is not just studying — this is building deep intuition for quant finance, one day at a time.

If you're serious about mastering probability, statistics, and quant thinking — follow this journey.

🧠 What I Covered:
Frequentist view of probability via simulation
Law of large numbers intuition through R
Monty Hall problem simulation (proof via code)
Intuition - formulas approach
Completed Conditional Probability chapter
🎯 Why This Matters:

Understanding probability through simulation is critical for quant trading, data science, and ML.

Theory tells you what — simulation shows you why.

🚀 Quant Journey Rules:
365 days of consistent learning
No shortcuts, only depth
Document everything publicly
🔔 Follow the Journey:

Subscribe if you want to see real, raw progress toward becoming a quant.

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Видео Day 13/365: R Simulations 🔥 Frequentist View + Monty Hall 🤯 | Conditional Probability COMPLETE канала Mr. Mavish