Replace target emoji

README.md

@@ -32,7 +32,7 @@ of Experiments, focusing on additions that enable real-world experimental campai
 Besides functionality to perform a typical recommend-measure loop, BayBE's highlights are:
 - ✨ Custom parameter encodings: Improve your campaign with domain knowledge
 - 🧪 Built-in chemical encodings: Improve your campaign with chemical knowledge
-- 🔍 Single and multiple targets with min, max and match objectives
+- 🎯 Single and multiple targets with min, max and match objectives
 - ⚙️ Custom surrogate models: For specialized problems or active learning
 - 🎭 Hybrid (mixed continuous and discrete) spaces
 - 🚀 Transfer learning: Mix data from multiple campaigns and accelerate optimization