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+# Outlier Detection Tutorial
+
+This notebook explains what outliers are and how to detect them using simple methods.
+
+An outlier is a data point that is very different from other values in a dataset.
+Outliers can affect model performance and data analysis.
+
+import numpy as np
+import pandas as pd
+
+data = pd.DataFrame({
+    "values": [10, 12, 13, 14, 15, 100]
+})
+
+from scipy import stats
+
+data["z_score"] = stats.zscore(data["values"])
+data
+
+#Z-score measures how far a value is from the mean.