Updated canvas to actually refer to the notes in the vault.

This results in the label creation at the top header to reference when showing the block.

1 files changed, 0 insertions, 18 deletions

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])
-```