Add isConfigCell metadata + updated bucket placeholder (aws#3)

Author: winstonaws

im-python-sdk/1P_kmeans_highlevel/kmeans_mnist.ipynb

@@ -54,12 +54,13 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "isConfigCell": true
    },
    "outputs": [],
    "source": [
     "role='<your IM execution role here>'\n",
-    "bucket='<<bucket-name>>'"
+    "bucket='<bucket-name>'"
    ]
   },
   {

im-python-sdk/1P_kmeans_lowlevel/kmeans_mnist_lowlevel.ipynb

@@ -53,11 +53,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "isConfigCell": true
+   },
    "outputs": [],
    "source": [
     "role='<your IM execution role here>'\n",
-    "bucket='<<bucket-name>>'"
+    "bucket='<bucket-name>'"
    ]
   },
   {
@@ -517,7 +519,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python [default]",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -531,7 +533,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.1"
+   "version": "3.5.2"
   }
  },
  "nbformat": 4,

im-python-sdk/mxnet_mnist/mxnet_mnist.ipynb

@@ -13,13 +13,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "isConfigCell": true
+   },
    "outputs": [],
    "source": [
     "#Bucket location to save your custom code in tar.gz format.\n",
-    "custom_code_upload_location = 's3://<<bucket-name>>/customcode'\n",
+    "custom_code_upload_location = 's3://<bucket-name>/customcode'\n",
     "#Bucket location where results of model training are saved.\n",
-    "model_artifacts_location = 's3://<<bucket-name>>/artifacts'\n",
+    "model_artifacts_location = 's3://<bucket-name>/artifacts'\n",
     "role='<your IM execution role here>'"
    ]
   },

im-python-sdk/tensorflow_iris/tf_iris.ipynb

@@ -92,13 +92,15 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "metadata": {},
+   "metadata": {
+    "isConfigCell": true
+   },
    "outputs": [],
    "source": [
     "#Bucket location to save your custom code in tar.gz format.\n",
-    "custom_code_upload_location = 's3://<<bucket-name>>/customcode'\n",
+    "custom_code_upload_location = 's3://<bucket-name>/customcode'\n",
     "#Bucket location where results of model training are saved.\n",
-    "model_artifacts_location = 's3://<<bucket-name>>/artifacts'\n",
+    "model_artifacts_location = 's3://<bucket-name>/artifacts'\n",
     "role='<your IM execution role here>'"
    ]
   },