Quant 101: Predict a Retirement Protfolio 💸 Full code: 👩‍💻 https://tinyurl.com/MCretirement We ran a Monte Carlo simulation to see how long a retirement portfolio can actually last under uncertainty. Instead of assuming one smooth return, we simulated thousands of different market paths year by year. Each path included real-world risks like bad years early, inflation-adjusted spending, and market volatility. Some portfolios survived comfortably, others ran out - even with the same average ret

Principal Component Analysis Explained This is how we take messy, high-dimensional data and turn it into a few clean, meaningful patterns. PCA finds the directions where the data varies the most and rewrites each data point using those directions instead of raw features. That’s how we reduce noise, avoid scale problems, and make models easier to visualize and train. It’s not magic - it’s just a smarter way to look at the same data. #machinelearning #ml #python #code #techtok

K-Means Clustering Explained with Python for Businesses