Adding missing file

notebooks/01_model_review.ipynb

@@ -1022,18 +1022,7 @@
     }
    },
    "source": [
-    "### Showing your Data Prep"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "slideshow": {
-     "slide_type": "subslide"
-    }
-   },
-   "source": [
-    "### Write down the meta-model\n",
+    "### Write down your Meta model\n",
     "\n",
     "**objective** – a sentence or two on what your model or analysis aims at.\n",
     "\n",
@@ -1054,12 +1043,19 @@
     }
    },
    "source": [
-    "### Write down the meta-model\n",
-    "\n",
     "**inputs**\n",
     "- Tell us what the model reads, e.g. postgres_db_uri , or an S3 location like https://s3.console.aws.amazon.com/s3/buckets/bar/baz\n",
-    "- What is the provenance? Directly querying a System of Record? Or a subsequent journey? Can we reproduce it?\n",
-    "\n",
+    "- What is the provenance? Directly querying a System of Record? Or a subsequent journey? Can we reproduce it?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
+   "source": [
     "**outputs** \n",
     "- Where will inferences go? Stdout, file, S3, a table? \n",
     "- Should we be worried about overwriting some frozen output?"
@@ -1073,32 +1069,72 @@
     }
    },
    "source": [
-    "### Write down the meta-model\n",
-    "\n",
     "**assumptions**\n",
     "\n",
     "- Are assumptions explicitly written down in a ReadMe? \n",
     "- The most common violations \n",
     "  - assuming independence over observations that aren't independent, or \n",
     "  - implicitly assuming some statistical distribution such as normality.\n",
     "\n",
-    "- Do assumptions actually hold in practice, in the observed data? \n",
-    "\n",
+    "- Do assumptions actually hold in practice, in the observed data? \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
+   "source": [
     "**benchmark** \n",
     "\n",
     "- What competing model are you comparing performance to? \n",
-    "- Is it the best available?\n",
-    "\n",
+    "- Is it the best available?\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
+   "source": [
     "**bias-variance tradeoff**\n",
-    "- What does the learning curve say about overfitting?\n",
-    "\n",
+    "- What does the learning curve say about overfitting?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
+   "source": [
     "**transformation** \n",
     "- How is data transformed during ETL? \n",
     "- Filtering? \n",
     "- Missing attributes? \n",
     "- Imputation?"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "slideshow": {
+     "slide_type": "subslide"
+    }
+   },
+   "source": [
+    "### Showing your Data Prep\n",
+    "\n",
+    "\n",
+    "<span style=\"display: inline-block; height:700px; width:2000px\"></span>\n",
+    "<span style=\"font-size: small\">cue live demo</span>\n"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {