Update machine-learning/03-Training and AutoML.ipynb

Co-authored-by: Luis Quintanilla <46974588+luisquintanilla@users.noreply.github.com>

Author: LittleLittleCloud

machine-learning/03-Training and AutoML.ipynb

@@ -281,7 +281,7 @@
       "metadata": {},
       "source": [
         "## Example 2: Non-linear regression on LightGbm.\n",
-        "This example is to show the importance of hyper-parameter optimization. We will first create a non-linear dataset and two pipelines. One pipeline has `LightGbm` with `numberOfLeaves` set to 10, the other's set to 1000. Then train both pipelines with the same train dataset and Comparing their training performance by evaluating them on the same test dataset."
+        "This example shows the importance of hyper-parameter optimization. First we create a non-linear dataset and two pipelines. One pipeline has `LightGbm` with `numberOfLeaves` set to `10`, the other's set to `1000`. Both pipelines are trained with the same training dataset and their training performance is evaluated on the same test dataset."
       ]
     },
     {