spelling corrections

Author: matkosoric

machine_learning/linear_regression.py

@@ -1,10 +1,10 @@
 """
 Linear regression is the most basic type of regression commonly used for
-predictive analysis. The idea is pretty simple, we have a dataset and we have
-a feature's associated with it. The Features should be choose very cautiously
-as they determine, how much our model will be able to make future predictions.
-We try to set these Feature weights, over many iterations, so that they best
-fits our dataset. In this particular code, i had used a CSGO dataset (ADR vs
+predictive analysis. The idea is pretty simple: we have a dataset and we have
+features associated with it. Features should be chosen very cautiously
+as they determine how much our model will be able to make future predictions.
+We try to set these features weights, over many iterations, so that they best
+fit our dataset. In this particular code, I had used a CSGO dataset (ADR vs
 Rating). We try to best fit a line through dataset and estimate the parameters.
 """
 import requests