fixed rendering issues

djib2011 · djib2011 · commit 7c7627002e9c · 2018-09-22T22:15:12.000+03:00
diff --git a/notebooks/21_advanced_ml_sklearn.ipynb b/notebooks/21_advanced_ml_sklearn.ipynb
@@ -220,7 +220,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -537,11 +536,11 @@
     "\n",
     "- **Precision**: The amount of examples of class $c$ **we got right** over the total number of examples **we predicted** were of class $c$.\n",
     "\n",
-    "$$ TP \\over {TP+FP} $$\n",
+    "$$ \\frac{TP}{TP+FP} $$\n",
     "\n",
     "- **Recall**: The amount of examples of class $c$ **we got right** over the **total number of class $\\mathbf c$ instances** there were.\n",
     "\n",
-    "$$ TP \\over {TP+FN} $$\n",
+    "$$ \\frac{TP}{TP+FN} $$\n",
     "\n",
     "In order to obtain a single value indicating the performance of the classifier on class $c$, we usually take the harmonic mean of the above two, or the [f1-score](https://en.wikipedia.org/wiki/F1_score) as its called.\n",
     "\n",
diff --git a/notebooks/22_clustering.ipynb b/notebooks/22_clustering.ipynb
@@ -101,7 +101,6 @@
    ]
   },
   {
-   "attachments": {},
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -1284,7 +1283,7 @@
     "The smaller the value of $I_C$, the less the variance in cluster $C$, meaning that the cluster is more \"compact\". Metrics like this are called **inertia**. To calculate the total inertia, we can just sum the inertia of each cluster.\n",
     "\n",
     "$$\n",
-    "Ι = \\sum_{C = 1}^k{I_C}\n",
+    "I = \\sum_{C = 1}^k{I_C}\n",
     "$$\n",
     "\n",
     "Many times, this is be divided with the total variance of the data.\n",
diff --git a/notebooks/23_clustering_application_nlp.ipynb b/notebooks/23_clustering_application_nlp.ipynb
@@ -593,7 +593,7 @@
     "\\end{array} \\right)\n",
     "$$\n",
     "\n",
-    "Each element **$x_{ij}$** represents **how many times term $t_j$ appears in document $d_i$**."
+    "Each element $x_{ij}$ represents **how many times term $t_j$ appears in document $d_i$**."
    ]
   },
   {

Original file line number	Diff line number	Diff line change
`@@ -593,7 +593,7 @@`
`593`	`593`	`"\\end{array} \\right)\n",`
`594`	`594`	`"$$\n",`
`595`	`595`	`"\n",`
`596`		`- "Each element $x_{ij}$ represents how many times term $t_j$ appears in document $d_i$."`
	`596`	`+ "Each element $x_{ij}$ represents how many times term $t_j$ appears in document $d_i$."`
`597`	`597`	`]`
`598`	`598`	`},`
`599`	`599`	`{`