diff --git a/2-Regression/1-Tools/solution/R/lesson_1-R.ipynb b/2-Regression/1-Tools/solution/R/lesson_1-R.ipynb
index 335ee5e796..d2e0e293a4 100644
--- a/2-Regression/1-Tools/solution/R/lesson_1-R.ipynb
+++ b/2-Regression/1-Tools/solution/R/lesson_1-R.ipynb
@@ -153,7 +153,7 @@
         "\n",
         "Now, let's load the diabetes dataset provided in this source URL: <https://www4.stat.ncsu.edu/~boos/var.select/diabetes.html>\n",
         "\n",
-        "Also, we'll perform a sanity check on our data using `glimpse()` and dsiplay the first 5 rows using `slice()`.\n",
+        "Also, we'll perform a sanity check on our data using `glimpse()` and display the first 5 rows using `slice()`.\n",
         "\n",
         "Before going any further, let's also introduce something you will encounter often in R code 🥁🥁: the pipe operator `%>%`\n",
         "\n",
@@ -438,4 +438,4 @@
       }
     }
   ]
-}
\ No newline at end of file
+}
diff --git a/2-Regression/1-Tools/solution/R/lesson_1.Rmd b/2-Regression/1-Tools/solution/R/lesson_1.Rmd
index cd2afebff6..1894973e24 100644
--- a/2-Regression/1-Tools/solution/R/lesson_1.Rmd
+++ b/2-Regression/1-Tools/solution/R/lesson_1.Rmd
@@ -131,7 +131,7 @@ Now that we have data ready, we can see if a machine can help determine a logica
 
 ```{r split, message=F, warning=F}
 set.seed(2056)
-# Split 67% of the data for training and the rest for tesing
+# Split 67% of the data for training and the rest for testing
 diabetes_split <- diabetes_select %>% 
   initial_split(prop = 0.67)