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diff --git a/tutorials/module_4/linear_regression.md b/tutorials/module_4/linear_regression.md deleted file mode 100644 index b21415b..0000000 --- a/tutorials/module_4/linear_regression.md +++ /dev/null @@ -1,18 +0,0 @@ -# Linear Regression - - - -## Statical tools -Numpy comes with some useful statistical tools that we can use to analyze our data. - -### Mean -The mean is the average of a set of numbers. It is calculated by summing all the numbers and dividing by the count of numbers. - -```python -import numpy as np - -mean = np.mean([1, 2, 3, 4, 5]) -median = np.median([1, 2, 3, 4, 5]) -std = np.std([1, 2, 3, 4, 5]) -variance = np.var([1, 2, 3, 4, 5]) -``` |