Update README.md

projects/baseball/README.md

@@ -3,8 +3,8 @@
 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.
 
 **Notes**:
-  - This repo only contains a subset of the entire code in this project
-  - This project is a work in progress
+    - This repo only contains a subset of the entire code in this project
+    - This project is a work in progress
 <br>
 
 - **Skills**: Statistical Modeling, Prediction, Risk Management, Problem Solving, Monte Carlo Simulation