Update 04_Linear_Regression.ipynb

Author: vjyanand

notebooks/04_Linear_Regression.ipynb

@@ -80,7 +80,7 @@
         "* **Disadvantages:**\n",
         "  * The model will perform well only when the data is linearly separable (for classification).\n",
         "  * Usually not used for classification and only for regression.\n",
-        "* **Miscellaneous:** You can also use linear regression for binary classification tasks where if the predicted continuous value is above a threshold, it belongs to a certain class. But we will cover better techniques for classification is future lessons and will focus on linear regression for continuos regression tasks only.\n"
+        "* **Miscellaneous:** You can also use linear regression for binary classification tasks where if the predicted continuous value is above a threshold, it belongs to a certain class. But we will cover better techniques for classification in future lessons and will focus on linear regression for continuos regression tasks only.\n"
       ]
     },
     {
@@ -1188,4 +1188,4 @@
       ]
     }
   ]
-}
+}