diff --git a/02_end_to_end_machine_learning_project.ipynb b/02_end_to_end_machine_learning_project.ipynb
index d983d52..06b7747 100644
--- a/02_end_to_end_machine_learning_project.ipynb
+++ b/02_end_to_end_machine_learning_project.ipynb
@@ -533,7 +533,7 @@
     "\n",
     "prices = housing[\"median_house_value\"]\n",
     "tick_values = np.linspace(prices.min(), prices.max(), 11)\n",
-    "cbar = plt.colorbar()\n",
+    "cbar = plt.colorbar(ticks=tick_values/prices.max())\n",
     "cbar.ax.set_yticklabels([\"$%dk\"%(round(v/1000)) for v in tick_values], fontsize=14)\n",
     "cbar.set_label('Median House Value', fontsize=16)\n",
     "\n",
diff --git a/INSTALL.md b/INSTALL.md
index fc5bc34..a1ce66b 100644
--- a/INSTALL.md
+++ b/INSTALL.md
@@ -27,7 +27,7 @@ If you have a TensorFlow-compatible GPU card (NVidia card with Compute Capabilit
 If you want to use a GPU then you should also edit environment.yml (or environment-windows.yml if you're on Windows), located at the root of the handson-ml2 project, replace tensorflow=2.0.0 with tensorflow-gpu=2.0.0, and replace tensorflow-serving-api==2.0.0 with tensorflow-serving-api-gpu==2.0.0. This will not be needed anymore when TensorFlow 2.1 is released.
 
 ## Create the tf2 Environment
-Next, make sure you're in the handson-ml2 directory and run the following command. It will create a new `conda` enviromnent containing every library you will need to run all the notebooks (by default, the environment will be named `tf2`, but you can choose another name using the `-n` option):
+Next, make sure you're in the handson-ml2 directory and run the following command. It will create a new `conda` environment containing every library you will need to run all the notebooks (by default, the environment will be named `tf2`, but you can choose another name using the `-n` option):
 
     $ conda env create -f environment.yml # or environment-windows.yml on Windows