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Add outlier detection tutorial notebook #37

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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.