Clean notebook and use remote URL for dataset

nbs/docs/tutorials/2_holidays.ipynb

@@ -128,7 +128,7 @@
    "id": "eb3adafb-65e6-44b4-b1e9-0e12b5ff46ed",
    "metadata": {},
    "source": [
-    "Given the predominance usage of calendar variables, we included an automatic creation of common calendar variables to the forecast method as a pre-processing step. To automatically add calendar variables, use the `date_features` argument."
+    "Given the predominance usage of calendar variables, we included an automatic creation of common calendar variables to the forecast method as a pre-processing step."
    ]
   },
   {
@@ -138,7 +138,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = pd.read_csv('google_trend_chocolate.csv')\n",
+    "df = pd.read_csv('https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/google_trend_chocolate.csv')\n",
     "df['month'] = pd.to_datetime(df['month']).dt.to_period('M').dt.to_timestamp('M')"
    ]
   },
@@ -221,6 +221,14 @@
     "df.head()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7cbcded8",
+   "metadata": {},
+   "source": [
+    "Now, let's create a future dataframe that contains the upcoming holidays in the United States."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -408,6 +416,14 @@
     "future_df.head()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "f32286cb",
+   "metadata": {},
+   "source": [
+    "We do the same steps for the input dataframe."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -635,6 +651,14 @@
     "df.tail()\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "bcc34ab7",
+   "metadata": {},
+   "source": [
+    "Great! Now, TimeGPT will consider the holidays as exogenous variables and the upcoming holidays will help it make predictions."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -692,6 +716,14 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "b75b4388",
+   "metadata": {},
+   "source": [
+    "We can then plot the weights of each holiday to see which are more important in forecasing the interest in chocolate."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,