Update README.md

projects/baseball/README.md

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 Data Science & Risk Management project using various baseball data sources to predict game outcomes and make informed sports bets. Predictions are generated using statistical models in a two-tiered approach - one at the game level, and another using a Discrete Event Simulator. The predictions are then compared against market odds to identify games with the highest potential ROI from placing bets. This is assessed across all games in a given time period, and bets are placed strategically in order to minimize downside risk while still realizing significant profits.
 
-<ins>**Skills**</ins>
+##### <ins>Skills</ins>
 - Statistical Modeling, Prediction, Risk Management, Problem Solving, Monte Carlo Simulation
 
 
-<ins>**Technology**</ins>
+#### <ins>Technology</ins>
 - Python, GBM Decision Tree
 
 
-***Notes***
+**Notes**
 - This repo only contains a subset of the entire code in this project
 - This project is a work in progress