Update ReadMe.md

ReadMe.md

@@ -31,7 +31,7 @@ The dataset consists of 100,000 rows and 28 features. It provides a wide view of
 This dataset was intentionally designed to be messy, mimicking real-world data entry errors. I followed a chronological process to clean it:
 
 1. **Fixing Mixed Data Types:** I identified columns such as Age and Annual Income that were incorrectly stored as strings (object) due to special characters like underscores (_). I removed these and converted the columns to numeric values.
-2. **Handling Placeholders:** I replaced categorical "placeholders" like "_______" or "_" with the label **Unknown**, allowing me to keep the data rows without making false assumptions.
+2. **Handling Placeholders:** I replaced categorical "placeholders" like "_______" or " _ " with the label **Unknown**, allowing me to keep the data rows without making false assumptions.
 3. **Outlier Detection & Capping Strategy:** I discovered extreme outliers, such as an age of 8,000 or interest rates over 5,000%.
 
 **Why I chose Capping with the Median:**